Lakireddy Bali Reddy College of Engineering, Mylavaram (Autonomous)
|
|
- Leo Alfred Douglas
- 5 years ago
- Views:
Transcription
1 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4 T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Iterpolatio: Itroductio Errors i polyomial Iterpolatio Fiite differeces Forward Differeces Backward Differeces Cetral Differeces Symbolic relatios ad separatio of symbols Differeces of a polyomial Newto s formulae for iterpolatio Lagrage s Iterpolatio formula.
2 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. ECE - B Sectio T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram 3. Itroductio Plaed Topics 3. Errors i polyomial Iterpolatio 3.3 Fiite Differeces i Itroductio ii Forward Differeces iii Forward Differece Table iv Backward Differeces v Backward Differece Table vi Cetral Differeces vii Cetral Differece Table 3.4 Symbolic relatios ad Separatio of symbols 3.5 Relatioship betwee ad E ; operators D ad E ad some more relatios 3.6 Differeces of a polyomial 3.7 Iterpolatio 3.8 Errors i polyomial Iterpolatio 3.9 Newto s Formula Iterpolatio Formula 3. Newto s Backward Iterpolatio Formula 3. Formula for Error i polyomial Iterpolatio 3. Cetral Differece Iterpolatio 3.3 Gauss s Forward Iterpolatio formula 3.4 Gauss s Backward Iterpolatio formula 3.5 Iterpolatio with uevely spaced poits 3.6 Lagrage s Iterpolatio Formula Lectures
3 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Lecture- Itroductio: If we cosider the statemet y = f, we uderstad that we ca fid the value of y, correspodig to every value of i the rage. Defiitio: If the fuctio f is sigle valued ad cotiuous ad is kow as eplicitly the the values of f for certai values of like,,,..., ca be calculated. The problem ow is if we are give the set of tabular values X Y y y y... y- y- y Satisfyig the relatio y = f ad the eplicit defiitio of f is ot kow, is it possible to fid a simple fuctio say such that f ad agree at the set of tabulated poits. This process of fidig is called Iterpolatio. Defiitio: If is a polyomial the the process is called polyomial iterpolatio ad is called iterpolatig polyomial. Note: Throughout this chapter we study polyomial iterpolatio. 3. Errors i polyomial Iterpolatio Types of Errors: Let be the value ad * be a approimatio to the value. The the differece * is called a Error i *. eact = Approimatio + error Iheret Roudig Trucatio Abs. Relative % Errors
4 Defiitio: Iheret Errors: Errors which are already ivolved i the statemet of a problem before its solutio are called Iheret Errors. These types of errors arise either due to the give data beig approimate or due to the limitatios of math tables calculatios or the digital computer. Iheret errors ca be miimized by takig better date or by usig precisio computig skills or aids. Defiitio: Roudig errors: Errors which arise from the process of roudig off the umber durig the calculatios are kow as roudig error. Let two umbers each havig digits be multiplied ad the resultig umber which will cotai digits be rouded to digits. Idoig so, a roud off error is itroduced. Similarly, i a decimal system, there may be ifiity of digits to the right of the decimal poit, ad it may ot be possible for us to use ifiity of digits i a computatioal problems. So, we use oly fiite umber of digits oly i our calculatios. This is the source of the so called Roudig of Errors. Roudig errors ca be reduced by i chagig the calculatio procedure or divisio of a small umber. ii retaiig at least oe or more sigificat figure at each step tha that give i the data ad roudig off at the last step. Defiitio: Trucatio Errors: These errors arise due to approimatio of results or o replacig a ifiite process by a fiite oe Eample: if si = i this is replaced 3! 5! 7! 3! 5! 7! by the si = -. Trucatio error type is algorithm error. The magitude of the error i the value of the fuctio due to cuttig trucatio of its series is equal to the sum of all the discarded terms. It may be large ad may eve eceed the sum of the terms retaied, thus makig calculated result meaigful.
5 Defiitio: Absolute error or relative or % errors: AE / RE / PE: If is the value of a quatity ad * is the its approimate value ad the * is called Absolute error E. Relative error: Er = - *. % Error: Ep = Er = - *. If such that * = the is a upper limit o the magitude of absolute error ad measures the absolute accuracy. Note: The relative error, % errors are idepedet ad absolute error is the epressio i terms of Er, Ep of these uits. Note: If a umber is correct to decimal places, the the error is.. Note: if the first sigificat figure of a umber is k ad the umber is correct to sigificat figures, the the relative error Er < k.. Defiitio: Errors i the approimatio of a fuctio: Let y = f, for all,. If, be the errors i, the the error y i y is give by y + y = +, + = f, + f f terms ivolvig high powers of, are ifiitesimal their squares ad higher powers ca be eglected. The, y + y = f, + f f. + f. y = f. +. Igeeral, y i y = f,, 3, 4,.... correspodig to errors i i i for i =,,3,..., is give by y = y y y. Relative error is Er = y y y =. y + y. y y. y
6 Eample: Rd = sigificat figure Eample: Rd865 = Ea = * = = 5 Er = - * = X Ep=ErX= - * = X 6.7 X 5 = 6.7 X 3 Eample: Rd = sigificat figure = Ea = * = =.35 Er = - * = X Ep=ErX= - * = X 6.7 X 5 = 6.7 X 3
7 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Lecture- Defiitio: Fiite Differeces: The calculus of fiite differeces deals with the chages that take place i the value of a fuctio due to fiite chages i the idepedet variable. Let y, y, y, , y be a set of values of ay fuctio y = f. Defiitio: Forward differeces: The differece y - y, y - y, y3 - y, , y - y- deoted by y, y, y, y3,..., y- respectively are called the First Forward Differeces ad operator is kow as Forward differece operator. y = y+ - y The differeces of the First Forward Differeces are called Secod Forward Differeces ad are deoted by y, y, y, y3,..., y etc., y = y - y For ay r, r y = r- y+ - r- y y = y - y y = y+ - y r th forward differece. X Y y y 3 y 4 y 5 y y y y y y 3 y y y 4 y y 3 y 5 y 3 y3 y 4 y y3 3 y 4 y4 y3 y4 5 y5
8 This table is called a Diagoal Differece Table. X is called the argumet ad y the fuctio or the etry. y the first etry is called leadig term ad y, y, 3 y,... are called the leadig differeces. Note: if is operator the y = y - y y = y + y = y + y = y + = + y y = y - y y = y + y = y = y, y = y y = y + y = y + y = y + = + y y = y +.y + y = y + = + y y = + y y3 = + 3 y Similarly, yk = y + k C.y + k C. y k Ck. k y Therefore for k, yk = + k y Note: y = y - y = y - y y - y = y - y - y 3 y = y - y = y3 - y + y y - y + y = y3-3 y + 3y - y 4 y = 3 y - 3 y = y4-3 y3 + 3 y - y y3-3 y + 3 y - y = y4-4 y3 + 6y 4 y + y y = y C y- + C y y Note: is liear operator if it satisfies below i, ii aioms: i f + g = f + g ii c.f = c.f for ay c > ad iii m f = m+ f for m, are positive itegers.
9 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Problems o errors, Diagoal Differece tables Tutorial- Problem # : Costruct a diagoal differece table for the followig set of values: i yi [As:384 Problem # : Costruct a diagoal differece table for the followig set of values: i yi [As: Problem # 3: Fid i e a ii e a ad evaluate iii ta - [As: i e a e ah - ii e h - e iii ta - h + h+ Problem # 4: Prove i. = - ii - = + iii E = E= Problem #5: Evaluate i si a + b ii [3 e iii [ e a log b [As:i cosa + b + ah/ si ah/ ii 3e + h e + h + e iii e a + h.logb + h e a.logb Problem # 6: Evaluate beig oe uit? 5 + takig the iterval of differecig [As:
10 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Solutios o errors, Diagoal Differece tables Tutorial- Problem # : Costruct a diagoal differece table for the followig set of values: i yi [As: 384 Solutio: Forward, Backward ad cetral Differeces i yi yi yi 3 yi 4 yi 5 yi Forward Cetral Backward
11 Problem # : Costruct a diagoal differece table for the followig set of values: i yi [As: Solutio: Diagoal Differece Table is as below Y y y 3 y 4 y Hece the solutio is. 63
12 Problem # 3: Fid i e a [As: i e a e ah - ii e h - e iii ta - ii e a ad evaluate iii ta - h + h+ Solutio: i e a By Defiitio, e a = e a+h - e a = e ah [e a - [e a = e a [e ah - e a = e a [e ah - To fid ii Cosider e a = e a = e a+h - e a = e [e h = [e h - e = e h e +h - e = e h e To evaluate iii e a = e h e Cosider, ta - = ta - + h - ta - = ta - Hece the solutio. ta - = ta - h + h+ + h + + h = ta - h + h+ Problem # 4: Prove i. = - ii Solutio: to prove i. = - - = + iii E = E= Cosider,. = E - E = E + E - = E E - = To prove ii: + Cosider, - = + To prove iii: Cosider, E = E - E = E = E E - = Thus, E = E = Hece the solutio.
13 Problem #5: Evaluate i si a + b ii [3 e iii [ e a log b [As: i cosa + b + ah/ si ah/ ii 3e + h e + h + e iii e a + h.logb + h e a.logb Solutio: To evaluate i si a + b Cosider, si a + b = si a a + h + b si a + b = si a + b + ah si a + b = cosa b + ah/ si ah/ To evaluate ii Cosider, [3 e = 3 [e + h - e = 3 [e + h - e = 3 [ e + h e + h + e To evaluate iii Cosider, [ e a log b = e a+h log b + h e a logb Hece the solutio. Problem # 6: Evaluate beig oe uit? 5 + takig the iterval of differecig [As: Solutio: let f = ad give h = f = f = [ f + f = [ f + [f = f + f + + f = = Hece the solutio.
14 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Backward Differeces Defiitio: Differeces of a polyomial: Lecture-3 The th differeces of a polyomial of the th degree are costat whe the values of idepedet variable are at equal itervals ad all higher order differeces are zero. Coverse is true. Let the polyomial be y = f = a + a - + a a- + a... y+y = f + = a + h + a + h - + a + h a- + h + a... Here let = h, y = f + - f = a h [ a h + a -h +[ a h + a + a - h + - h Similarly, y = a! h th differece is costat, all higher differece =. Note: if h =, y = a! ad =!. Defiitio: Backward Differeces: Let y, y,y, ,y-, y deote the values of ay fuctio y = f. The The differece y - y, y - y, y3 - y, , y - y- deoted by y, y, y3, y4,..., y respectively are called the First Backward Differeces ad operator is kow as Backward differece operator. y = y - y- The differeces of the First Backward Differeces are called Secod Backward Differeces ad are deoted by y, y3,..., y etc., y = y - y = y y y y = y y + y 3 y3 = y3 - y = y 3 y + y y y + y = y 3 3y + 3 y y
15 r y = r- y - r- y-, r th Backward Differece. r, r y = r- y - r- y- rth Backward/Horizotal differece Table: Y y y 3 y 4 y 5 y y y y y y 3 y3 y y3 4 y4 y3 3 y4 5 y5 3 y3 y4 4 y5 y4 3 y5 4 y4 y5 y5 5 y5 Note: y = y - y- y- = y - y = - y y = y - y- ; y- = y - y y- = y- - y- = y - y y - y = y -.y + y y- = y -.y + y = - y So, y-3 = - 3 y y-k = - y= k C+ k C -...y= k C y + k C y -...
16 Defiitio: Error propagatio is a fiite differece Table :Error E i y3 values: y y y 3 y 4 y y y y y y3+ y4 y5 y y 3 y+ y+ y3+ 3 y-3 4 y - 4 y- y3-3 y+3 4 y + 6 y3+ y4 3 y3-4 y - 4 y4 y5 y6 Problem: Form the backward Differece Table for the give set of values: y Solutio: Backward Differece Table y y y 3 y 4 y
17 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Cetral Differeces Defiitio: Cetral Differeces: Aother system of differeces is cetral differeces. I the system, the Cetral Differeces Operator C.D.O. is defied by the relatios. Lecture-4 Let y, y,y, ,y-, y deote the values of ay fuctio y = f. The The differece y - y, y - y, y3 - y, , y - y- deoted by y, y, 3..., y- respectively are called the First Cetral Differeces ad operator is kow as Cetral differece operator. This is liear operator. y = y = y ; y For =,,,... 3 = y = y ; y 5 = y = y3 ;... y+/= y = y+ The first cetral differeces of the first cetral differeces are called the secod cetral differeces ad are deoted by y, y, y3,...thus, y = y 3 - y, y = y 5 - y 3,..., y = y+/ - y-/. Similarly, Higher Order Cetral Differeces are defied as y - y = y3/ ad so o. Cetral Differeces Table as below: X y st diff d diff 3 rd diff 4 th diff 5 th diff y/ y y3/ 3 y3/ y 4 y y5/ 3 y5/ 5 y5/ 3 3 y3 4 y3 y7/ 3 y7/ 4 4 y4 y9/ 5 5
18 Differece Operator E ad :. Shift Operator E: The operator E icreases the argumet by h so that E f = f + h, E f = f + h, E 3 f = f + 3h,..., E f = f + h The operator E - is a iverse operator is defied by E - f = f h if f = y, the E y = y+h E - y = y-h E y = y+h, for ay real umber y.. Averagig Operator : is defied by, y = y / h y / h I the differece calculus, E is regarded as the fudametal operator ad - Delta operator - Del operator - small delta operator - mue epressed i terms of E.
19 Some Importat Formulae: Relatios betwee Operatios & Idetities. = E or E = + Proof: y = y +h - y = Ey - y = E - y Where ad E coected as = E or E = +. = E Proof: y = y - y-h = y E - y = - E - y Where ad E coected as = - E - or E - = - 3. = E / E / Proof: y = y +/.h - y-/.h = E / y E -/ y = E / E- / y Where ad E coected as = E / E- / / -/ 4. = E - E y +/.h y /. h Proof: y = / -/ = E - E Where ad E / / -/ coected as = E - E 5. = E = E = E / Proof: by makig use of, ad 3 formulae = E or E = + ; = E ad = E / E- / Cosider, E =.E / = E = Where, E, ad coected as = E = E = E / = I Proof: f = f + h f = E f = E or E = + f = f f - h = - E f = - E or E = = EE - = I y
20 7. = + 4 By 3, we have = E / E / Squarig both sides, = E + E - / -/ = E - E = - E - E + 4 = = + 4 = E = e hd Proof: Ef = f + h = f + h. f + h! f +... = f + h. D f + D +...! = f [ + hd + h d +... Ef = f.e hd E = e hd h
21 Factorial Powers: Fuctios: = h h [ - [ = [-.h [ = [ = [ =.h. [- [ = [- h m [ = -...[-m- - m. h m m [ = for all m >. Formula for fiite Summatio: Sm = m i m i =.h. [+... [ = h, S m = = m i + i [ + [ + m + Similar to Newto Leibitz formula for a positive itegral.
22 Iverse Operator - for fiite Itegratio: If y = u the y = - u Here - is called fiite Itegratio operator or iverse of operator. His operator - or ordiary itegratio may be deoted by D - or. D Formulae:. - e a+ b = e e a+ b ab if a =, b = the - e = e e h. - a = a a h a 3. - u + v = - u + - v 4. - cu = c. - u 5. - a + b = a + b +.hb +, = + -, h = a + b = b a+ b, 8. - = - - Summatio series: Let S = v + v + v3 + v v = vi for i=,,..., Let vi = ui ui = - vi vi = ui = ui+ - ui = v = u = u u v = u = u3 u v = u = u+ u S = v + v + v3 + v v = vi = u+ u = u+ u = [ - v +
23 Momorts theorem result: u u + u + u u u +... = u + u + u +... = u + E u + E u +... = [ + E + E +... u = [ - E - u = u E = u + sice, E = + = u = u - = u = u i i u u u u i =
24 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Tutorial- Problem # : Prove that 3 y = 3 y5. Problem # : Fid the cubic polyomial i for the give data below: y Problem # 3: Show that. =. [As Problem # 4: Epress f = ad its differeces i L factorial otatio h =? [As. f = [3 + 3 [ + [ - Problem # 5: Fid the 7 th term of, 9, 8, 65, 6, 7 ad geeral term? [As. 7 th term = 344, y = + 3 +, y 6 = = 344. Problem # 6: Prove that y5 = y6 y5 + y4 Problem # 7: Evaluate? [As Problem # 8: Prove that log f = log f + f Problem # 9: Fid the differece table of f ad E f for give data: X f [As. =.6 is =.694 Problem # : Fid y6 whe y = 9, y = 8, y =, y3 = 4 third differeces beig costat? [As. y6 = E 6 y =38
25 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Solutios Problem # : Prove that 3 y = 3 y5. Tutorial- Solutio: L.H.S. = 3 y = E - 3 y = E 3 3 E 3E- y = y - 3 y4 + 3 y3 - y R.H.S. = 3 y5 = E - 3 y5 = E 3 3 E 3E- y5 = y8-3 y7 + 3 y6 y5 But, 3 y5 = - E - 3 y5 = 3E E - - E -3 y5 = y5-3 y4 + 3 y3 y Therefore, it implies that 3 y = 3 y5. Hece proved the result. Problem # : Fid the cubic polyomial i for the give data below: X Y Solutio:Fuctio be y, y be cubic polyomial so, 4 y is zero. [As y y y 3 y 4 y y= -3 6 y = y= y3= y4 = y5 =7 + 3! Now, y = E y = + 3 y = { + + y
26 3 = y + y + y + y 3! = ! = = Cubic polyomial of y = Problem # 3: Show that. =. Solutio: L.H.S..y = y+h y = y+h y = y+h y y y-h = y+h y + y-h = R.H.S. L.H.S. = R.H.S. i.e.,.y =. y For ay y fuctio. Hece Proved the result. Problem # 4: Epress f = ad its differeces i L factorial otatio h =? [As. f = [3 + 3 [ + [ - Solutio: let f = = A--+ B- + C + put =, D = - put =, C + D = -8 or C = put =, B + C + D = or B = 3 o equatig co-efficiets of 3 both sides, A = f = [3 + 3 [ + [ f =.3. [ [ +. [ f =.3.. [ [ 3 f =.3.. Hece the solutio.
27 Problem # 5: Fid the 7 th term of,9,8,65,6,7 ad geeral term? Solutio: [As. 7 th term = 344, y = + 3 +, y 6 = = 344. X y y y 3 y 4 y y= 7 y = y= y3= y4 = y5 =7 7 th term : y6 = y + 6C. y + 6C. y +6C3. 3 y + 6C4. 4 y + 6C5. 5 y + 6C6. 6 y = = = 344 So, y6 = 344. Geereal term: y = y + C. y + C. y + C3. 3 y + C4. 4 y + C5. 5 y + C6. 6 y+... = = = = y = implies y6 = = 344. Hece the solutio.
28 Problem # 6: Prove that y5 = y6 y5 + y4 Solutio: cosider, L.H.S. = y5 = y5 = y/ y9/ = y/ y9/ = y6 y5 - y5 y4 = y6 y5 + y4 y5 = y6 y5 + y4 Hece the solutio. Problem # 7: Evaluate? [As Solutio: Cosider, L.H.S. = = - Now, = - = ad Also, = + + O repeatig the process, we get = Hece the solutio. Problem # 8: Prove that log f = log f + f Solutio: let h be the iterval differecig f + h = E f E f = + f -h +h f + h = f + f implies that f + h = f f + f f + h f O takig logarithms both sides, we get log = log + f f log f + h log f = log + f f [log f + h log f = log f = log Hece Proved the result. + f f
29 Problem # 9: Fid the differece table of f ad E f for give data: X f [As. =.6 is =.694 Solutio: f f f 3 f O observatio 3 f = = Irregularity of is at.6 differece is =.694 crept i while copyig. Hece the solutio.
30 Problem # : Fid y6 whe y = 9, y = 8, y =, y3 = 4 third differeces beig costat? [As. y6 = E 6 y =38 Solutio: y6 = E 6 y = + 6 y = y Sice 3 rd differece of costat, sub sequet differeces are zero. Y 6 = y Y 6 = y + 6 y + 5 y + 3 y Table as : f f f Y 6 = y + 6 y + 5 y + 3 y = = 38 Y 6 = 38. Hece the solutio.
31 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Try Ur Self studet Tutorial-3 Problem #: Epress y = i factorial &show that y=. [As. y = [3 + 3 [ + 3 [ ad y = Problem # : Fid the missig data i the followig data table X 3 4 f [As. = 3, 3 3 = 7 Problem # 3: Prove that y- = y y- + y y. Problem #4:Prove That y y y + +!! y3 + 3! e y + y y +! 3 3 y + 3! +... Problem # 5: Show that u u u u + u3 u to = u + u u Problem # 6: Fid - [ +? [As. 3 Problem # 7: Fid ? [As Problem # 8: Fid where, u= + +. [As Dear studet Try Ur Self problem to problem 8...
32 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Problems Tutorial-4 Problem #. The followig data give the meltig poit of a alloy of lead ad zic, is the temperature i degrees cetigrade is percet of load. : : Fid whe = 43 ad whe = 84? [As , Problem #. Fid the value of y from the followig data at =.47? : y: [As..799 Problem #3. The followig data give, the values of y are cosecutive terms of which 3.6 is the 6 th term. Fid the first ad teth terms of the series. : y: [As. 3., Problem #4. Usi the Newto s forward iterpolatio formula ad fid the value of si 5 from the followig data. Estimate the error : y=si : [As..39 Problem #5. The followig data gives the distace i autical miles of the visible horizo for the give heights i feet above the earths surface. Height : Distace:y Fid y whe = 8 ft. ad whe = 4 ft.? [As. 5.7,.53 aut. miles Problem #6. The followig data of the fuctio f = / fid /.7 usig quadratic iterpolatio. Fid a Estimate Error. X f [As..5 X -5
33 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Problems Tutorial-5 Problem #. The followig data give, fid the umber of studets whose weight is betwee 6 ad 7. Wt Kg : No of Studets As. y7- y6 = 54 Problem #. The followig data give the populatio of a tow. Year : Pop. y: Estimate the populatio icreases durig the period ? [As. 9.4 lakhs Problem #3. Fid the cubic polyomial which takes the followig values. X 3 f Hece or otherwise evaluate f 4? [As. 4 Problem #4. The followig data give, estimate the umber of studets who obtaied marks betwee 4 ad 45. Marks: N of stu: [As. 7 Problem #5. Fid a polyomial of degree two which takes the values : y: [As. ½ + +
34 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Summary. Newto s Forward Iterpolatio Formula: p p = + ph = y + py + y! p p p...[ p! y p p p 3! 3 + y Error i Newto s Forward Differece Iterpolatio Formula:... E = y - = y where < <! SUM- 3. Newto s Backward Iterpolatio Formula: p p + = + ph = y + py + y +! p p + p + 3 y p p + p +...[ p + h y 3! 4. Error i Newto s Backward Differece Iterpolatio Formula:... E = y - = y where < < +!
35 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Summary o Formulae SUM- NEWTON S FORWARD INTERPOLATION FORMULA: Let y = f be a polyomial of degree ad take i the followig form y = f = b + b + b + b b A This polyomial passes through all the poits [i, yi for i =,,,...,. therefore, we ca obtai the yi s by substitutig the correspodig i s as: At =, y = b At =, y = b + b At =, y = b + b + b... Let h be the legth of iterval such that i s represet as below:, +h, +h, +3h,..., + h. =h, = h, 3 = 3h,..., = h... From ad we get, y = b y = b + bh y = b + bh + bhh y3 = b + b3h + b3hhh + b3hhh y3 = b + bh + bh-h bh-h-h... B
36 O solvig the above equatios for b, b, b,..., b we get b = y y b b = = h b = y y b b h = h y b =! h y y h = y h y y y h h h 3 y Similarly, we ca see that b3 = 3 3! h = y y y h 4 y, b4 = 4 4! h y = y y h 5 y, b5 = 5 5! h y = h y y,..., b =! h, y = f = y + y h y +! h y ! h 3 y + 3 3! h If we us the relatioship = + ph - = ph where p =,,,..., the = + h = h = ph h = p - h = + h = h = p - h h = p - h i = p i h = [p -h Equatio 3 becomes, y = f = f + ph p p =y+p y + y! p p p 3! 3 + y p p p...[ p y +!... 4 This formula is kow as Newto s forward iterpolatio formula or Newto s Gregory forward iterpolatio formula. Uses: This formula for iterpolatio ear the begiig of a set of tabular values.
37 NEWTON S BACKWARD INTERPOLATION FORMULA: Let y = f be a polyomial of degree ad take i the followig form y = f = a + a + a - + a a ad impose the coditio that y ad y should agree at the tabulated poits, -, -, -3,...,,,. we obtai y = p p + p p + p + 3 y+p y + y + y ! 3! Where p = h p p + p +...[ p + +! y... 6 Uses: This formula is useful for tabular values to the left of y ad also useful for iterpolatio ear the ed of the tabular values. Formulae for error i polyomial Iterpolatio: If y = f is the eact curve ad y = is the iterpolatig polyomial curve, the the error i polyomial iterpolatio is give by... Error = f - = f +! For ay, where < < ad < <. The error i Newto s Forward Iterpolatio formula is give p p p... p + f - = f +! where p = h... 8 The error i Newto s Backward Iterpolatio formula is give by p p + p +... p f - = h f +! where p = h... 9
38 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Summary o Formulae SUM-3 CENTRAL DIFFERENCE INTERPOLATION As metioed earlier, Newto s forward iterpolatio formula is useful to fid the value of y = f at a poit which is ear the begiig value of ad the Newto s Backward Iterpolatio Formula is useful to fid the value of ad the Newto s Backward Iterpolatio formula is useful to fid the value of y at a poit which is ear the termial value of. We ow derive the Iterpolatio Formulas that ca be employed to fid the value of which is aroud the middle to the specified values. For this purpose, we take as oe of the specified values of that lies aroud the middle of the differece table ad deote rh by -r ad the correspodig value of y by y-r. The the middle part of the forward differece table will appear as show below: y y y 3 y 4 y 5 y y-4 y-4-3 y-3 y-4 y-3 3 y-4 - y- y-3 4 y-4 y- 3 y-3 5 y-4 - y- y- 4 y-3 y- 3 y- 5 y-3 y y- 4 y- y 3 y- 5 y- y y 4 y- y 3 y 5 y- y y 4 y y 3 y 3 y3 y 3 4 y
39 From the table, we ote the followig: y = y- + y-, y = y- + 3 y-, 3 y = 3 y- + 4 y-, 4 y = 4 y- + 5 y-... ad so o. Ad y- = y- + y-, y- = y- + 3 y-, 3 y- = 3 y- + 4 y-, 4 y- = 4 y- + 5 y- 5 y- = 5 y- + 6 y-... ad so o. By usig the epressios ad, we ow obtai two versios of the followig Newto s Forward iterpolatio Formula: yp = p p p p p 3 p p p p 3 4 y + p y + y + y + y +...! 3! 4!... 3 here yp is the value of y at = p = + ph.
40 GAUSS s FORWARD INTERPOLATION FORMULA: Substitutig for y, 3 y... from i the formula 3 we get, yp = p p y + p y + y! p p p p 3 4 y 4! 3 + y 5 + y p p p 3 + y 3! y + yp = y p p p p p 3 p p p p p y + y + y ! 3! 4! y Substitutig for 4 y- from, this becomes yp = p p p p p 3 p p p p 3 4 y + p y + y + y + y +...! 3! 4!... 4 This versio of Newto s Forward Iterpolatio Formula is kow as the Gauss s Forward Iterpolatio Formula. We observe that the formula 4 cotais y ad the eve differeces y-, 4 y-,... which lie o the lie cotaiig called the cetral lie ad the odd differeces y, 3 y-... which lie o the lie just below this lie, i the differece table. Note: we observe the followig differece table that y = y/ y- = y 3 y- = 3 y/ 4 y- = 4 y ad so o. Accordigly the formula 4 ca be re-writte i the otatio of cetral differeces as give below: yp = y p p p p p 3 p p p p p y/ + y + y/ ! 3! 4!... 5 y
41 GAUSS s BACKWARD INTERPOLATION FORMULA: Net, let us substitute for y, y, 3 y... from i the formula 3. Thus we obtai yp = p p 3 y + p y + y + y + y +! p p p p y + y ! p p p 3 y 3! 4 + y + yp = y p p + p p p + 3 p p p + p 4 + p y + y + y ! 3! 4! y 3 4 Substitutig for y, y from, this becomes p p + p p p + 3 y + p y + y + y! 3! yp = p p p + p 4 5 y + y ! 4 + y + yp = y p p + p p p + 3 p p p + p 4 + p y + y + y ! 3! 4! y... 6 The versio of the Newto s Forward Iterpolatio Formula is kow as the Gauss s Backward Iterpolatio Formula. Observe the formula 6 cotais y ad the eve differeces y-, 4 y-... which lie o the cetral lie ad the odd differeces y-, 3 y-... which lie o the lie just above this lie. Note: I the otatio of cetral differeces the formula reads yp = y p p + p p p + 3 y 3! p p p + p ! p y / + y + / y!
42 INTERPOLATION WITH UNEVENLY SPACED POINTS: I the previous classes of lectures we have derived iterpolatio formulae which are of great importace. But i those formulae the disadvatage is that the values of the idepedet variables are to be equally spaced. We desire to have iterpolatio formulae with uequally spaced values of the idepedet variables. We discuss Lagrage s Iterpolatio Formula which uses oly fuctio values. LAGRANGE S INTERPOLATION FORMULA: Let,,,..., be the + values of which are ot ecessarily equally spaced. Let y, y, y,..., y be the + values of y = f. Let the polyomial of degree for the fuctio y = f passig through the + poits, f,, f,, f,...,, f be i the followig form y = f = a... + a... + a a where a, a, a,..., a are costats. Sice the polyomial passes through, f,, f,, f,...,, f, the costats ca be determied by substitutig oe of the values of,,,..., for i the above equatio. Puttig = i we get, f = a... f a =... Puttig = i we get, f = a... f a =... Similarly, Substitutig = i we get, f = a... f a =... Cotiuig i this maer ad Puttig = i we get, f = a... - a = f...
43 Substitutig these values of a, a, a,..., a we get, c f f f f f This is kow as Lagrage s Iterpolatio Formula. This ca be epressed as k j j j k j k k f f Aother form is : f f f f
44 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Solutios Tutorial-4 Problem #. The followig data give the meltig poit of a alloy of lead ad zic, is the temperature i degrees cetigrade is percet of load. : : Fid whe = 43 ad whe = 84? [As , Solutio: The values of ad differeces of are tabulated below: p p By Newto s Iterpolatio Formula, = + p! Here = 84, =, = 43 4 To fid 43 p =. 3 h p = X ! Sice = 84 is ear the ed of the table, we have to use by Newto s Backward Iterpolatio Formula = + p + p p Also p=.6, p = -.6, = -.6! h = X Hece the solutio.
45 Problem #. Fid the value of y from the followig data at =.47? : y: [As..799 Solutio: Sice we require the value of correspodig to a value of ear the ed of the table, Newto s Backward Formula is to be used. The backward table is give as below: Y y y 3 y 4 y Here h =., p = h..3. implies p = -.3 Newto s Backward Differece Formula is y = y + py + p p + p p + p + 3 y + y! 3! p p + p + p y 4! = ! 3! ! =.799 Hece the solutio.
46 Problem #3. The followig data give, the values of y are cosecutive terms of which 3.6 is the 6 th term. Fid the first ad teth terms of the series. : y: [As. 3., Solutio: Sice we require the value of correspodig to a value of ear the ed of the table, Newto s Forward Formula is to be used. The Forward table is give as below: Y y y 3 y 4 y Here h =, =, = 3 ad 3 p = h implies p = - Newto s Forward Differece Formula is y = y - = = 3. 3 to fid the th term, use Newto s Backward Differece Formula with 9 = 9, =, h = ad p = h y = y = =! 3! Hece the solutio.
47 Problem #4. Usi the Newto s forward iterpolatio formula ad fid the value of si 5 from the followig data. Estimate the error : Solutio: y=si : [As..39 y = si y y 3 y p =. 4 h 5 From Newto s Forward Formula = + ph p p =y +py + y! p p p y ! 3 + p p p...[ p! y.4.4. = = =.7883 Si 5 =.7883 p p p... p + Error = y ; Takig = +! p p p Error = y =.7 3! 6 =.39 Hece the solutio.
48 Problem #5. The followig data gives the distace i autical miles of the visible horizo for the give heights i feet above the earths surface. Height : Distace:y Fid y whe = 8 ft. ad whe = 4 ft.? [As. 5.7,.53 aut. miles Solutio: X Y y y 3y 4y Takig =, = 8, h = 5, p =. 36 h 5 Newto s Forward Iterpolatio Formula is give by, Y8 = p p p p p 3 p p p...[ p y+py+ y + y +...+! 3!! y = = = = 5.7 autical miles To fid the value of y whe = 4 which is ear the ed of the table, we use Newto s Backward Iterpolatio Formula
49 4 4 = 4, p =. h 5 usig the lie of Backward Differeces y =.7, y =.37, y = -., 3 y =. etc., Newto s backward Formula is give by Y4 = p p + p p + p + 3 p p + p + p = y4 + py4 + y4 + y4 + y4! 3! 4! = =.53 autical miles. Hece the solutio. Problem #6. The followig data of the fuctio f = / fid /.7 usig quadratic iterpolatio. Fid a Estimate Error. X f [As..5 X -5 Solutio: The differece table is as below: X f f f =.7, p =. ; f.7 = = = = h Error = 3 f ;E.7 <. 4 3! 6.7 =.5-5. Hece the solutio.
50 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Solutios Tutorial-5 Problem #. The followig data give, fid the umber of studets whose weight is betwee 6 ad 7. Wt Kg : No of Studets As. y7- y6 = 54 Solutios: The cumulative values ad differeces table is as below: Wt: Stu: y y y 3 y 4 y < 4 5 < < < 54-5 < = 4, = 7, p =. 5 y7 = y + py + y = = = = 44 No of studets whose weight is betwee 6 ad 7 = y7 Y6 = = 54 Hece the solutio.
51 Problem #. The followig data give the populatio of a tow. Year : Pop. y: Estimate the populatio icreases durig the period ? [As. 9.4 lakhs Solutio: The differece table is y y y 3 y 4 y 4 y Whe = 946, p =. 5 p p p p p y946 = y + py + y + 3 y =+.54+ y = = Whe = 976, p =. 5 p p + p p + p + y976 = y + py + y + 3 y = = = Therefore icrease i populatio durig the period = 9.4 lakhs. Hece the solutio.
52 Problem #3. Fid the cubic polyomial which takes the followig values. X 3 f Hece or otherwise evaluate f 4? [As. 4 Solutio: The differece table is f f f 3 f p = h Usig Newto s Forward Iterpolatio formula, we get f = f + f + f + 3 f = = which is required polyomial To compute f 4, we take = 3, = 4 So that p = h Usig Newto s Backward Iterpolatio Formula, we get p p + p p + p + ` f 4 = f 3 + pf3 + f3 + 3 f = = 4 Which is the same value as that obtaied by substitutig = 4 i the cbic polyomial Hece the solutio.
53 Problem #4. The followig data give, estimate the umber of studets who obtaied marks betwee 4 ad 45. Marks: N of stu: [As. 7 Solutio: The differece table is as below: Y y y 3 y 4 y < < < < < = 45, = 4, p =. 5 h Usig Newto s Iterpolatio Formula we get, p p - p p - p - p p - p - p 3 y45 = y4 + py4+ y4 + 3 y4+ 3 y = = = The umber of studets with marks < 45 is i.e., 48. But the umber of studets with marks less tha 4 is 3. Hece the umber of studets gettig marks betwee 4&45 = 48 3 = 7. Hece the solutio. Problem #5. Fid a polyomial of degree two which takes the values : y: [As. ½ + + Try Urself...
54 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Problems Tutorial-6 Problem #: Fid f. if f = 76, f = 85, f = 94, f 3 = 3, f 4 =, f 5 =, f 6 = 9. [As Problem #:From the followig table, fid y whe =.85 ad =.4 by Newto s Iterpolatio Formulae y= e [As. 6.36,. Problem #3: Costruct a polyomial for the data give below. Fid also y = 5. : y: [As. y = , y Problem #4: give si 45 =.77, si 5 =.766, si 55 =.89, si 6 =.866 fid si 5 usig Newto s Forward Formulae? [A..788 Problem #5: Fid y 3 if y = 35.3, y 5 = 3.4, y = 9., y 5 = 6., y 3 = 3., y 35 =.5. [As..948 Problem #6: Estimate the values of f ad f 4 from the followig available data: : f : [As. 35, 9 Problem # 7: calculate 5. 5 give 5 =.36, 6 =.449, 7 =.646, 8 =.88. [As..344 Problem # 8: From the followig data, estimate the umber of persos havig icomes betwee ad 5. Icomes : < No of persos [As. 4,76
55 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Problems Tutorial-7 Problem # : From the followig data, estimate the umber of studets who secured marks betwee 4 ad 45. Marks : No of studets [As. 7 Problem # : From the followig data gives the populatio of a tow durig the last si cesus. Estimate the icrease i the populatio durig the period from 976 to 978. Year Populatio [As. 53 Problem # 3: Usig a polyomial of third degree, complete the record give below of the eport of a certai commodity durig five years. Year Eport T [As. 369 Problem # 4: The area A of a circle of a diameter d is give for the followig values. d: A: Calculate the area of a circle of diameter 5. [As. 369 Problem # 5: Costruct Newto s Forward Iterpolatio polyomial for the followig data. : y: Evaluate y for = 5. [As. 369
56 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Objective Type Questios OTQ-. If =, = 5, = 8, 3 = 3, 4 = 7, 5 = the 5 6 =... A -6 B 6 C -6 D 6 [ A. [f =... A f f h B f + h C f + h f D f h [ C 3. The relatio betwee ad is... A = + E - B. + E C = - E D - E - [ D 4. If the iterval of differecig is uity ad f = a fid which oe of the followig choices is wrog... A [f = a +B [f = a C 3 [f = D 4 [f = [ C 5. If 3 4 =, by bisectio method first two approimatios ad are ad the is... A,5 B. C.75 D.5 [ D 6. 3y5 = A y6+ 3y5 + 3y4 + y3b y5-3y4-3y3 yc y6-3y5 +3y4 -y3d y5+ 3y4 + 3y3 + y [ B 7. Gauss forward iterpolatio formula is used to iterpolate the values of y for A < p < - B - < p < C < p < D < p < [ D 8. If first two approimatios ad are roots of 3 + = are ad the by regula-falsi method is... A.5 B.5 C.5 D.35 [ B 9. If first two approimatios ad are roots of = is =.64 the by Newto Raphso Method N.R.M is... A.85 B.6565 C.7 D.674 [ B. Give that X 5 f The f =... A.58 B.96 C.5 D.54 [ D
57 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Objective Type Questios OTQ-.e =... takig h = A e e B e + e - C ec D e + e [ A. If f = + +, the the value of f is takig h = A + 3 B C + D + [ B 3. If y = which of the followig is ot true? A y = + 3 B 3 y = 6 C 4 y = D = 6 + y[ A 4. Give that X 3 f The f =... A B 3 C 4 D [ D 5. Newtos iterative formula to fid the value of N is... A + = 3 N B + = N C + = N D + = + N [ D 6. Which oe is wrog? A [f f = f. f B E + C [f + f = f + f D 5= [ A 7. Newto s iterative formula to fid the value of 3 N is... A+= 3 N B+= + 3 N C+ = 3 N D+= - N [ B 8. A liear versio of the lagrage s iterpolatio formula for f is... A f f B + f f C + f f D + f f [ D 9. If = the first approimatio ad are ad by bisectio method is... A.5 B.5 C.5 D [ A. The order of covergece i Newto-Raphso Method N.R.M is... A B 3 C D [ D
58 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Problems o cetral diff, gauss, ward Problem #: Fid f.5 usig the followig data table X 3 4 f Tutorial-8 [As Problem #: From the followig table values of ad y = e iterpolate values of y whe = e [As Problem # 3: From the followig table fid y whe = y [As.4.43 Problem # 4: From the followig table fid y whe = y [As.-.65 Problem #5: Use Gauss s Forward Iterpolatio Formula to fid f 3.3 from the followig table: y=f [As.4.9 Problem #6: Use Gauss s Forward Iterpolatio Formula to fid f 3 give that f = 8.478, f5 = 7.844, f9 = 7.7, f33 = 6.343, f37 = [As.6.9 Problem #7: Fid by Gauss s Backward Iterpolatio Formula the value of y at = 936, usig the followig table: y [As Problem #8: Use Gauss s Backward Iterpolatio Formula to fid f 3 give that f5 =.77, f3 =.37, f35 =.3386, f4 = [As..365
59 Lakireddy Bali Reddy College of Egieerig, Mylavaram Autoomous B.Tech I Year II-Semester May/ Jue 4. T 64- Numerical Methods UNIT III INTERPOLATION Faculty Name: N V Nagedram Problems o cetral diff, gauss, ward Tutorial-9 Problem #: Fid f.36 from the followig table: : y: [As..589 Problem #: Fid f from the Gauss s Forward formula: : f: [As Problem #3: Usig Gauss s Backward Formula,Fid f 8 from the table: : y: [As Problem #4: Fid y 5 give that y = 4, y4 = 3, y8 = 35, y3 = 4, Usig Gauss s Forward differece Formula. [As Problem #5: Give that 65 = 8.63, 65 = , 65 = , 653 = 8.884, 656 by usig Gauss s Backward Formula. [As
Section A assesses the Units Numerical Analysis 1 and 2 Section B assesses the Unit Mathematics for Applied Mathematics
X0/70 NATIONAL QUALIFICATIONS 005 MONDAY, MAY.00 PM 4.00 PM APPLIED MATHEMATICS ADVANCED HIGHER Numerical Aalysis Read carefully. Calculators may be used i this paper.. Cadidates should aswer all questios.
More informationChapter 2 The Solution of Numerical Algebraic and Transcendental Equations
Chapter The Solutio of Numerical Algebraic ad Trascedetal Equatios Itroductio I this chapter we shall discuss some umerical methods for solvig algebraic ad trascedetal equatios. The equatio f( is said
More informationCALCULUS BASIC SUMMER REVIEW
CALCULUS BASIC SUMMER REVIEW NAME rise y y y Slope of a o vertical lie: m ru Poit Slope Equatio: y y m( ) The slope is m ad a poit o your lie is, ). ( y Slope-Itercept Equatio: y m b slope= m y-itercept=
More informationTopic 1 2: Sequences and Series. A sequence is an ordered list of numbers, e.g. 1, 2, 4, 8, 16, or
Topic : Sequeces ad Series A sequece is a ordered list of umbers, e.g.,,, 8, 6, or,,,.... A series is a sum of the terms of a sequece, e.g. + + + 8 + 6 + or... Sigma Notatio b The otatio f ( k) is shorthad
More informationZeros of Polynomials
Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree
More informationx x x 2x x N ( ) p NUMERICAL METHODS UNIT-I-SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS By Newton-Raphson formula
NUMERICAL METHODS UNIT-I-SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS. If g( is cotiuous i [a,b], te uder wat coditio te iterative (or iteratio metod = g( as a uique solutio i [a,b]? '( i [a,b].. Wat
More informationNotes on iteration and Newton s method. Iteration
Notes o iteratio ad Newto s method Iteratio Iteratio meas doig somethig over ad over. I our cotet, a iteratio is a sequece of umbers, vectors, fuctios, etc. geerated by a iteratio rule of the type 1 f
More informationWe are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n
Review of Power Series, Power Series Solutios A power series i x - a is a ifiite series of the form c (x a) =c +c (x a)+(x a) +... We also call this a power series cetered at a. Ex. (x+) is cetered at
More information3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials
Math 60 www.timetodare.com 3. Properties of Divisio 3.3 Zeros of Polyomials 3.4 Complex ad Ratioal Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered
More informationTHE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.
THE SOLUTION OF NONLINEAR EQUATIONS f( ) = 0. Noliear Equatio Solvers Bracketig. Graphical. Aalytical Ope Methods Bisectio False Positio (Regula-Falsi) Fied poit iteratio Newto Raphso Secat The root of
More informationChapter 4. Fourier Series
Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,
More informationSEQUENCES AND SERIES
Sequeces ad 6 Sequeces Ad SEQUENCES AND SERIES Successio of umbers of which oe umber is desigated as the first, other as the secod, aother as the third ad so o gives rise to what is called a sequece. Sequeces
More informationMost text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t
Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said
More informationANALYSIS OF EXPERIMENTAL ERRORS
ANALYSIS OF EXPERIMENTAL ERRORS All physical measuremets ecoutered i the verificatio of physics theories ad cocepts are subject to ucertaities that deped o the measurig istrumets used ad the coditios uder
More information3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,
3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [
More informationSection 1 of Unit 03 (Pure Mathematics 3) Algebra
Sectio 1 of Uit 0 (Pure Mathematics ) Algebra Recommeded Prior Kowledge Studets should have studied the algebraic techiques i Pure Mathematics 1. Cotet This Sectio should be studied early i the course
More informationSubject: Differential Equations & Mathematical Modeling-III
Power Series Solutios of Differetial Equatios about Sigular poits Subject: Differetial Equatios & Mathematical Modelig-III Lesso: Power series solutios of differetial equatios about Sigular poits Lesso
More informationSeptember 2012 C1 Note. C1 Notes (Edexcel) Copyright - For AS, A2 notes and IGCSE / GCSE worksheets 1
September 0 s (Edecel) Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright
More informationAlgebra II Notes Unit Seven: Powers, Roots, and Radicals
Syllabus Objectives: 7. The studets will use properties of ratioal epoets to simplify ad evaluate epressios. 7.8 The studet will solve equatios cotaiig radicals or ratioal epoets. b a, the b is the radical.
More informationLinear Differential Equations of Higher Order Basic Theory: Initial-Value Problems d y d y dy
Liear Differetial Equatios of Higher Order Basic Theory: Iitial-Value Problems d y d y dy Solve: a( ) + a ( )... a ( ) a0( ) y g( ) + + + = d d d ( ) Subject to: y( 0) = y0, y ( 0) = y,..., y ( 0) = y
More informationSummary: CORRELATION & LINEAR REGRESSION. GC. Students are advised to refer to lecture notes for the GC operations to obtain scatter diagram.
Key Cocepts: 1) Sketchig of scatter diagram The scatter diagram of bivariate (i.e. cotaiig two variables) data ca be easily obtaied usig GC. Studets are advised to refer to lecture otes for the GC operatios
More informationInfinite Sequences and Series
Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet
More informationChapter 9: Numerical Differentiation
178 Chapter 9: Numerical Differetiatio Numerical Differetiatio Formulatio of equatios for physical problems ofte ivolve derivatives (rate-of-chage quatities, such as velocity ad acceleratio). Numerical
More informationNumerical Solution of Non-linear Equations
Numerical Solutio of Noliear Equatios. INTRODUCTION The most commo reallife problems are oliear ad are ot ameable to be hadled by aalytical methods to obtai solutios of a variety of mathematical problems.
More informationThe picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled
1 Lecture : Area Area ad distace traveled Approximatig area by rectagles Summatio The area uder a parabola 1.1 Area ad distace Suppose we have the followig iformatio about the velocity of a particle, how
More informationMATH 10550, EXAM 3 SOLUTIONS
MATH 155, EXAM 3 SOLUTIONS 1. I fidig a approximate solutio to the equatio x 3 +x 4 = usig Newto s method with iitial approximatio x 1 = 1, what is x? Solutio. Recall that x +1 = x f(x ) f (x ). Hece,
More informationSEQUENCE AND SERIES NCERT
9. Overview By a sequece, we mea a arragemet of umbers i a defiite order accordig to some rule. We deote the terms of a sequece by a, a,..., etc., the subscript deotes the positio of the term. I view of
More information*X203/701* X203/701. APPLIED MATHEMATICS ADVANCED HIGHER Numerical Analysis. Read carefully
X0/70 NATIONAL QUALIFICATIONS 006 MONDAY, MAY.00 PM.00 PM APPLIED MATHEMATICS ADVANCED HIGHER Numerical Aalysis Read carefully. Calculators may be used i this paper.. Cadidates should aswer all questios.
More informationSection 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations
Differece Equatios to Differetial Equatios Sectio. Calculus: Areas Ad Tagets The study of calculus begis with questios about chage. What happes to the velocity of a swigig pedulum as its positio chages?
More informationThe Growth of Functions. Theoretical Supplement
The Growth of Fuctios Theoretical Supplemet The Triagle Iequality The triagle iequality is a algebraic tool that is ofte useful i maipulatig absolute values of fuctios. The triagle iequality says that
More informationFind a formula for the exponential function whose graph is given , 1 2,16 1, 6
Math 4 Activity (Due by EOC Apr. ) Graph the followig epoetial fuctios by modifyig the graph of f. Fid the rage of each fuctio.. g. g. g 4. g. g 6. g Fid a formula for the epoetial fuctio whose graph is
More informationSubject: Differential Equations & Mathematical Modeling -III. Lesson: Power series solutions of Differential Equations. about ordinary points
Power series solutio of Differetial equatios about ordiary poits Subject: Differetial Equatios & Mathematical Modelig -III Lesso: Power series solutios of Differetial Equatios about ordiary poits Lesso
More informationECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations
ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows
More informationExpectation and Variance of a random variable
Chapter 11 Expectatio ad Variace of a radom variable The aim of this lecture is to defie ad itroduce mathematical Expectatio ad variace of a fuctio of discrete & cotiuous radom variables ad the distributio
More informationSOME TRIBONACCI IDENTITIES
Mathematics Today Vol.7(Dec-011) 1-9 ISSN 0976-38 Abstract: SOME TRIBONACCI IDENTITIES Shah Devbhadra V. Sir P.T.Sarvajaik College of Sciece, Athwalies, Surat 395001. e-mail : drdvshah@yahoo.com The sequece
More informationA.1 Algebra Review: Polynomials/Rationals. Definitions:
MATH 040 Notes: Uit 0 Page 1 A.1 Algera Review: Polyomials/Ratioals Defiitios: A polyomial is a sum of polyomial terms. Polyomial terms are epressios formed y products of costats ad variales with whole
More informationlecture 3: Interpolation Error Bounds
6 lecture 3: Iterpolatio Error Bouds.6 Covergece Theory for Polyomial Iterpolatio Iterpolatio ca be used to geerate low-degree polyomials that approimate a complicated fuctio over the iterval [a, b]. Oe
More informationDiscrete probability distributions
Discrete probability distributios I the chapter o probability we used the classical method to calculate the probability of various values of a radom variable. I some cases, however, we may be able to develop
More informationThe Method of Least Squares. To understand least squares fitting of data.
The Method of Least Squares KEY WORDS Curve fittig, least square GOAL To uderstad least squares fittig of data To uderstad the least squares solutio of icosistet systems of liear equatios 1 Motivatio Curve
More informationSIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR Siddharth Nagar, Narayanavanam Road QUESTION BANK (DESCRIPTIVE)
QUESTION BANK 8 SIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR Siddharth Nagar, Narayaavaam Road 5758 QUESTION BANK (DESCRIPTIVE Subject with Code : (6HS6 Course & Brach: B.Tech AG Year & Sem: II-B.Tech& I-Sem
More information6.3 Testing Series With Positive Terms
6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial
More informationMATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and
MATH01 Real Aalysis (2008 Fall) Tutorial Note #7 Sequece ad Series of fuctio 1: Poitwise Covergece ad Uiform Covergece Part I: Poitwise Covergece Defiitio of poitwise covergece: A sequece of fuctios f
More informationTaylor Series (BC Only)
Studet Study Sessio Taylor Series (BC Oly) Taylor series provide a way to fid a polyomial look-alike to a o-polyomial fuctio. This is doe by a specific formula show below (which should be memorized): Taylor
More informationSEQUENCES AND SERIES
9 SEQUENCES AND SERIES INTRODUCTION Sequeces have may importat applicatios i several spheres of huma activities Whe a collectio of objects is arraged i a defiite order such that it has a idetified first
More information[ 11 ] z of degree 2 as both degree 2 each. The degree of a polynomial in n variables is the maximum of the degrees of its terms.
[ 11 ] 1 1.1 Polyomial Fuctios 1 Algebra Ay fuctio f ( x) ax a1x... a1x a0 is a polyomial fuctio if ai ( i 0,1,,,..., ) is a costat which belogs to the set of real umbers ad the idices,, 1,...,1 are atural
More informationLesson 10: Limits and Continuity
www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals
More informationLinear Regression Demystified
Liear Regressio Demystified Liear regressio is a importat subject i statistics. I elemetary statistics courses, formulae related to liear regressio are ofte stated without derivatio. This ote iteds to
More informationCastiel, Supernatural, Season 6, Episode 18
13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio
More informationMAT1026 Calculus II Basic Convergence Tests for Series
MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real
More informationTopic 5 [434 marks] (i) Find the range of values of n for which. (ii) Write down the value of x dx in terms of n, when it does exist.
Topic 5 [44 marks] 1a (i) Fid the rage of values of for which eists 1 Write dow the value of i terms of 1, whe it does eist Fid the solutio to the differetial equatio 1b give that y = 1 whe = π (cos si
More informationThe z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j
The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.
More informationChapter 6 Overview: Sequences and Numerical Series. For the purposes of AP, this topic is broken into four basic subtopics:
Chapter 6 Overview: Sequeces ad Numerical Series I most texts, the topic of sequeces ad series appears, at first, to be a side topic. There are almost o derivatives or itegrals (which is what most studets
More informationApply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.
Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α
More informationChapter 7: Numerical Series
Chapter 7: Numerical Series Chapter 7 Overview: Sequeces ad Numerical Series I most texts, the topic of sequeces ad series appears, at first, to be a side topic. There are almost o derivatives or itegrals
More informationPC5215 Numerical Recipes with Applications - Review Problems
PC55 Numerical Recipes with Applicatios - Review Problems Give the IEEE 754 sigle precisio bit patter (biary or he format) of the followig umbers: 0 0 05 00 0 00 Note that it has 8 bits for the epoet,
More informationA widely used display of protein shapes is based on the coordinates of the alpha carbons - - C α
Nice plottig of proteis: I A widely used display of protei shapes is based o the coordiates of the alpha carbos - - C α -s. The coordiates of the C α -s are coected by a cotiuous curve that roughly follows
More information(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is
Calculus BC Fial Review Name: Revised 7 EXAM Date: Tuesday, May 9 Remiders:. Put ew batteries i your calculator. Make sure your calculator is i RADIAN mode.. Get a good ight s sleep. Eat breakfast. Brig:
More informationf t dt. Write the third-degree Taylor polynomial for G
AP Calculus BC Homework - Chapter 8B Taylor, Maclauri, ad Power Series # Taylor & Maclauri Polyomials Critical Thikig Joural: (CTJ: 5 pts.) Discuss the followig questios i a paragraph: What does it mea
More informationCHAPTER 5. Theory and Solution Using Matrix Techniques
A SERIES OF CLASS NOTES FOR 2005-2006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 3 A COLLECTION OF HANDOUTS ON SYSTEMS OF ORDINARY DIFFERENTIAL
More informationC. Complex Numbers. x 6x + 2 = 0. This equation was known to have three real roots, given by simple combinations of the expressions
C. Complex Numbers. Complex arithmetic. Most people thik that complex umbers arose from attempts to solve quadratic equatios, but actually it was i coectio with cubic equatios they first appeared. Everyoe
More informationMath 2784 (or 2794W) University of Connecticut
ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really
More informationx x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0,
Math Activity 9( Due with Fial Eam) Usig first ad secod Taylor polyomials with remaider, show that for, 8 Usig a secod Taylor polyomial with remaider, fid the best costat C so that for, C 9 The th Derivative
More informationCS537. Numerical Analysis and Computing
CS57 Numerical Aalysis ad Computig Lecture Locatig Roots o Equatios Proessor Ju Zhag Departmet o Computer Sciece Uiversity o Ketucky Leigto KY 456-6 Jauary 9 9 What is the Root May physical system ca be
More informationNUMERICAL METHODS FOR SOLVING EQUATIONS
Mathematics Revisio Guides Numerical Methods for Solvig Equatios Page 1 of 11 M.K. HOME TUITION Mathematics Revisio Guides Level: GCSE Higher Tier NUMERICAL METHODS FOR SOLVING EQUATIONS Versio:. Date:
More informationCS321. Numerical Analysis and Computing
CS Numerical Aalysis ad Computig Lecture Locatig Roots o Equatios Proessor Ju Zhag Departmet o Computer Sciece Uiversity o Ketucky Leigto KY 456-6 September 8 5 What is the Root May physical system ca
More informationTopic 9: Sampling Distributions of Estimators
Topic 9: Samplig Distributios of Estimators Course 003, 2016 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be
More information7 Sequences of real numbers
40 7 Sequeces of real umbers 7. Defiitios ad examples Defiitio 7... A sequece of real umbers is a real fuctio whose domai is the set N of atural umbers. Let s : N R be a sequece. The the values of s are
More informationSOLUTIONS OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS
96 Egieerig Mathematics through Applicatios 5 SOLUTIONS OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS aaaaa 5. INTRODUCTION The equatios of the form f() = 0 where f() is purely a polyomial i. e.g. 6 4 3 =
More informationCOMPUTING SUMS AND THE AVERAGE VALUE OF THE DIVISOR FUNCTION (x 1) + x = n = n.
COMPUTING SUMS AND THE AVERAGE VALUE OF THE DIVISOR FUNCTION Abstract. We itroduce a method for computig sums of the form f( where f( is ice. We apply this method to study the average value of d(, where
More informationAdvanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology
Advaced Aalysis Mi Ya Departmet of Mathematics Hog Kog Uiversity of Sciece ad Techology September 3, 009 Cotets Limit ad Cotiuity 7 Limit of Sequece 8 Defiitio 8 Property 3 3 Ifiity ad Ifiitesimal 8 4
More information62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +
62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of
More informationLESSON 2: SIMPLIFYING RADICALS
High School: Workig with Epressios LESSON : SIMPLIFYING RADICALS N.RN.. C N.RN.. B 5 5 C t t t t t E a b a a b N.RN.. 4 6 N.RN. 4. N.RN. 5. N.RN. 6. 7 8 N.RN. 7. A 7 N.RN. 8. 6 80 448 4 5 6 48 00 6 6 6
More informationTEACHER CERTIFICATION STUDY GUIDE
COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra
More informationAlternating Series. 1 n 0 2 n n THEOREM 9.14 Alternating Series Test Let a n > 0. The alternating series. 1 n a n.
0_0905.qxd //0 :7 PM Page SECTION 9.5 Alteratig Series Sectio 9.5 Alteratig Series Use the Alteratig Series Test to determie whether a ifiite series coverges. Use the Alteratig Series Remaider to approximate
More informationChapter 10: Power Series
Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because
More informationA sequence of numbers is a function whose domain is the positive integers. We can see that the sequence
Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece,, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet as
More informationPrecalculus MATH Sections 3.1, 3.2, 3.3. Exponential, Logistic and Logarithmic Functions
Precalculus MATH 2412 Sectios 3.1, 3.2, 3.3 Epoetial, Logistic ad Logarithmic Fuctios Epoetial fuctios are used i umerous applicatios coverig may fields of study. They are probably the most importat group
More informationChapter 2: Numerical Methods
Chapter : Numerical Methods. Some Numerical Methods for st Order ODEs I this sectio, a summar of essetial features of umerical methods related to solutios of ordiar differetial equatios is give. I geeral,
More information8. Applications To Linear Differential Equations
8. Applicatios To Liear Differetial Equatios 8.. Itroductio 8.. Review Of Results Cocerig Liear Differetial Equatios Of First Ad Secod Orders 8.3. Eercises 8.4. Liear Differetial Equatios Of Order N 8.5.
More information6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.
6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio
More informationChapter 6 Infinite Series
Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat
More informationPRACTICE FINAL/STUDY GUIDE SOLUTIONS
Last edited December 9, 03 at 4:33pm) Feel free to sed me ay feedback, icludig commets, typos, ad mathematical errors Problem Give the precise meaig of the followig statemets i) a f) L ii) a + f) L iii)
More informationRandom Variables, Sampling and Estimation
Chapter 1 Radom Variables, Samplig ad Estimatio 1.1 Itroductio This chapter will cover the most importat basic statistical theory you eed i order to uderstad the ecoometric material that will be comig
More informationUnit 6: Sequences and Series
AMHS Hoors Algebra 2 - Uit 6 Uit 6: Sequeces ad Series 26 Sequeces Defiitio: A sequece is a ordered list of umbers ad is formally defied as a fuctio whose domai is the set of positive itegers. It is commo
More information(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3
MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special
More informationTaylor Polynomials and Approximations - Classwork
Taylor Polyomials ad Approimatios - Classwork Suppose you were asked to id si 37 o. You have o calculator other tha oe that ca do simple additio, subtractio, multiplicatio, or divisio. Fareched\ Not really.
More informationMIDTERM 3 CALCULUS 2. Monday, December 3, :15 PM to 6:45 PM. Name PRACTICE EXAM SOLUTIONS
MIDTERM 3 CALCULUS MATH 300 FALL 08 Moday, December 3, 08 5:5 PM to 6:45 PM Name PRACTICE EXAM S Please aswer all of the questios, ad show your work. You must explai your aswers to get credit. You will
More informationFundamental Concepts: Surfaces and Curves
UNDAMENTAL CONCEPTS: SURACES AND CURVES CHAPTER udametal Cocepts: Surfaces ad Curves. INTRODUCTION This chapter describes two geometrical objects, vi., surfaces ad curves because the pla a ver importat
More informationCHAPTER 10 INFINITE SEQUENCES AND SERIES
CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece
More information, 4 is the second term U 2
Balliteer Istitute 995-00 wwwleavigcertsolutioscom Leavig Cert Higher Maths Sequeces ad Series A sequece is a array of elemets seperated by commas E,,7,0,, The elemets are called the terms of the sequece
More informationPatterns in Complex Numbers An analytical paper on the roots of a complex numbers and its geometry
IB MATHS HL POTFOLIO TYPE Patters i Complex Numbers A aalytical paper o the roots of a complex umbers ad its geometry i Syed Tousif Ahmed Cadidate Sessio Number: 0066-009 School Code: 0066 Sessio: May
More informationn m CHAPTER 3 RATIONAL EXPONENTS AND RADICAL FUNCTIONS 3-1 Evaluate n th Roots and Use Rational Exponents Real nth Roots of a n th Root of a
CHAPTER RATIONAL EXPONENTS AND RADICAL FUNCTIONS Big IDEAS: 1) Usig ratioal expoets ) Performig fuctio operatios ad fidig iverse fuctios ) Graphig radical fuctios ad solvig radical equatios Sectio: Essetial
More informationFor use only in Badminton School November 2011 C2 Note. C2 Notes (Edexcel)
For use oly i Badmito School November 0 C Note C Notes (Edecel) Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets For use oly i Badmito School November 0 C Note Copyright www.pgmaths.co.uk
More informationAPPENDIX F Complex Numbers
APPENDIX F Complex Numbers Operatios with Complex Numbers Complex Solutios of Quadratic Equatios Polar Form of a Complex Number Powers ad Roots of Complex Numbers Operatios with Complex Numbers Some equatios
More informationEstimation for Complete Data
Estimatio for Complete Data complete data: there is o loss of iformatio durig study. complete idividual complete data= grouped data A complete idividual data is the oe i which the complete iformatio of
More informationAP Calculus Chapter 9: Infinite Series
AP Calculus Chapter 9: Ifiite Series 9. Sequeces a, a 2, a 3, a 4, a 5,... Sequece: A fuctio whose domai is the set of positive itegers = 2 3 4 a = a a 2 a 3 a 4 terms of the sequece Begi with the patter
More informationTR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT
TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the
More information2. Fourier Series, Fourier Integrals and Fourier Transforms
Mathematics IV -. Fourier Series, Fourier Itegrals ad Fourier Trasforms The Fourier series are used for the aalysis of the periodic pheomea, which ofte appear i physics ad egieerig. The Fourier itegrals
More informationA collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation
Iteratioal Joural of Mathematics Research. ISSN 0976-5840 Volume 9 Number 1 (017) pp. 45-51 Iteratioal Research Publicatio House http://www.irphouse.com A collocatio method for sigular itegral equatios
More information