[Lakshmi, 5(2): February, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785

Size: px
Start display at page:

Download "[Lakshmi, 5(2): February, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785"

Transcription

1 [Lkshmi, 5): Februry, 0] ISSN: IOR), Publiction Imct Fctor: 785 IJESRT INTERNTIONL JOURNL OF ENGINEERING SCIENCES & RESERCH TECHNOLOGY SUB -TRIDENT FORM THROUGH FUZZY SUB -TRINGULR FORM Prveen Prksh, MGeethLkshmi * Hed o the Dertment, Mthemtics Dertment, Hindustn University,Chenni, Indi * ssistnt Proessor, Mthemtics Dertment,KCG college o Technology,Chenni,Indi BSTRCT This er dels with the new concet to ind Shortest Pth nd the Otimum Solution with the hel o Fuzzy Numbers Here the Fuzzy Sub-Tngulr Form is obtined rom the Pscl s Tngle Grded Men long with the hel o uzzy numbers nd this orm is gin converted to Sub-Tdent Form The Minimum vlue o Sub-Tdent Form gives the shortest Pth nd lso the Otimum Solution with suitble numecl exmle KEYWORDS: Grded Men, Fuzzy Numbers, Otimum Solution, Pscl s Tngle, nd Sub-Tdent Form INTRODUCTION One o the most imortnt roblem in trnsorttion network is the shortest th roblem The distnce o shortest route is clculted using this shortest th roblem rom source node to the destintion node Dubois nd Prde introduced the uzzy shortest th roblem with the hel o Floyd s lgothm in the yer 980 []Lter in the yer 99, Okd nd Gen [] introduced the sme roblem with the hel o Dijkstr s lgothm LotiZdeh introduced the uzzy set theory in the yer 95[]Then Chen nd Hsieh introduced the Fuzzy Grded Men Integrtion Reresenttion [] nd [7] ter tht the reresenttion nd liction o uzzy number is given by SHilern in the yer 997 []In the yer 000, Okd nd Soer concentrted on shortest th roblem on network in which uzzy number, insted o rel number is ssigned to ech rc length [5] In this roosed method the Sub-Tdent Form through Fuzzy Sub-Tdent Form by using trezoidl uzzy numbers with the hel o Pscl s Tngle Grded Men which gives the Shortest Pth nd the Otiml Solution Here this er consists o Sections: Bsic deinitions nd nottions in the irst section, the roosed method in the second section, the Working Rule or the lgothm in the third section, identiying the shortest th nd obtining the otiml solution by giving suitble numecl exmle in the ourth section nd inlly the ith section gives the conclusion bsed on our study PRELIMINRIES In this section, some bsic deinition o uzzy set theory nd uzzy number re discussed [] Deinition : uzzy set x in X is chrctezed by membershi unction ) reresents grde o membershi o ) More generl reresenttion or uzzy set is given by x, x x) / x X Deinition : The cut o uzzy set x X x, where 0, x o the Universe o discourse X is deined s htt: // wwwijesrtcom Interntionl Journl o Engineeng Sciences & Reserch Technology [8]

2 [Lkshmi, 5): Februry, 0] ISSN: IOR), Publiction Imct Fctor: 785 Deinition uzzy set deined on the set o rel numbers is sid to be uzzy number i its membershi unction : [0, ] hs the ollowing chrctestics ) b) c) is convex i x ) x) min{ x ), x)} x, x X, is norml i there exists n x ) is iecewise continuous x such tht i Reresenttion o Generlized Trezoidl) Fuzzy Number mx x) In generl, generlized uzzy number is descbed t ny uzzy subset o the rel line R, whose membershi unction stisies the ollowing conditions: is continuous ming rom R to [0,], x)=0, x c, x) L x) is stctly incresing on [c,] x) w, x b, x) R x) is stctly decresing on [b,d], x) 0, d x Where 0 w nd, b, c nd d re rel numbers We denote this tye o generlized uzzy number s c,, b, d; w) LR When w=, we denote this tye o generlized uzzy number s c,, b, d) LR When Lx) nd Rx) re stght line, then is Trezoidl uzzy number, we denote it s c,, b, d) Grded Men Integrtion Reresenttion In 998, Chen nd Hsieh [] nd [7] roosed grded men integrtion reresenttion or reresenting generlized uzzy number Suose L, R re inverse unctions o L nd R resectively, nd the grded men h- level vlue o generlized uzzy number c,, b, d; w) LR is h[ L h) R h)]/ Then the grded men integrtion reresenttion o generlized uzzy number bsed on the integrl vlue o grded men h-level is ) w 0 L h h) R w 0 hdh h) dh c b d 0, Where h is between 0 nd w, 0<w ; Pscl s Tngle Grded Men roch The Grded Men Integrtion Reresenttion or generlized uzzy number by Chen nd Hsieh [] - [8]Lter SkKdhr Bbu nd BRjesh nnd introduces Pscl s Tngle Grded Men in Sttisticl Otimiztion [0]But the resent roch is very simle ws o nlyzing uzzy vbles to get the otimum shortest th This htt: // wwwijesrtcom Interntionl Journl o Engineeng Sciences & Reserch Technology [85]

3 [Lkshmi, 5): Februry, 0] ISSN: IOR), Publiction Imct Fctor: 785 rocedure is tken rom the ollowing Pscl s tngle We tke the coeicients o uzzy vbles s Pscl s tngle numbers Then we just dd nd divide by the totl o Pscl s number nd we cll it s Pscl s Tngle Grded Men roch Figure: Pscl s Tngle The ollowing re the Pscl s tngulr roch: Let,,, ) nd B b, b, b, ) re two trezoidl uzzy numbers then we cn tke the b coeicient o uzzy numbers rom Pscl s tngles nd ly the roch we get the ollowing ormul: b b b b ) ; ; 8 8,, b, b, b b The coeicients o, nd re,,, This roch cn be extended ir n-dimensionl Pscl s Tngulr uzzy order lso, PROPOSED METHOD Fuzzy Sub-Tngulr Form o Pscl s Tngle Tngulr Fuzzy Numbers: The Pscl s Tngle or Tngulr Fuzzy Number is given in igure: nd the Sub -Tngles or Tngulr Fuzzy Number is given in Figure: Set: I) s ollows: Figure: Figure: Sub Tngle: i) Sub-Tngle: ii) Sub-Tngle: iii) Set: I htt: // wwwijesrtcom Interntionl Journl o Engineeng Sciences & Reserch Technology [8]

4 [Lkshmi, 5): Februry, 0] ISSN: IOR), Publiction Imct Fctor: 785 P = ) P, q = ) P B, r = ) P C P = ) P, q = ) P B, r = ) P C P = ) P, q = ) P B, r = ) P C The Fuzzy Sub-Tngulr Form or Tngulr Fuzzy Number is given by FST, q, r ), where q r r, rr q q q r r B Trezoidl Fuzzy Numbers: The Pscl s Tngle or Trezoidl Fuzzy Number is given in igure: nd the Sub -Tngles or Trezoidl Fuzzy Number is given in Figure: 5Set: II) s ollows: Figure: Figure: 5 Sub Tngle: i) Sub-Tngle: ii) Sub-Tngle: iii) Set: II P = P = P = ) ) ), q =, q =, q =, r = 7, r =, r = 7 The Fuzzy Sub-Tngulr Form or Trezoidl Fuzzy Number is given by FST, q, r ), where q r htt: // wwwijesrtcom Interntionl Journl o Engineeng Sciences & Reserch Technology [87] q q q r r r, rr C Pentgonl Fuzzy Numbers: The Pscl s Tngle or Pentgonl Fuzzy Number is given in igure: nd the Sub -Tngles or Pentgonl Fuzzy Number is given in Figure: 7Set: III) s ollows:

5 [Lkshmi, 5): Februry, 0] ISSN: IOR), Publiction Imct Fctor: 785 Figure: Figure: 7 Sub Tngle: i) Sub-Tngle: ii) Sub-Tngle: iii) Set: III P = P = P = ) ) ), q =, q = 0, q = 8, r = 5, r = 5 htt: // wwwijesrtcom Interntionl Journl o Engineeng Sciences & Reserch Technology [88], r = The Fuzzy Sub-Tngulr Form or Pentgonl Fuzzy Number is given by FST, q, r ), where q r Similrly we cn extend this to dierent uzzy numbers Sub-Tdent Form, 0 q q q r r r, rr The Sub-Tdent Form o Fuzzy Number is given by ST qq rr, where rr re the Grded Mens o the Pscl s Tngle rom the Fuzzy Tngulr Form LGORITHM The Working Rule or the Sub-Tdent Form to ind the shortest th nd the otimum solution is given by the ollowing lgothm: Ste: Inut the uzzy number s edge weight Ste: ind uzzy sub-tngulr orm FST ) o uzzy number using Pscl s Tngle Grded Men tken in three sides o Pscl s Tngle Ste: converting uzzy sub-tngulr orm FST ) to Sub-Tdent Form ST )

6 [Lkshmi, 5): Februry, 0] ISSN: IOR), Publiction Imct Fctor: 785 Ste: ind the minimum vlue o the Sub-Tdent Form ST ) Ste: 5 Reet Ste: or ll the djcent edges nd the minimum o ll djcent edges rve t the shortest th Ste: Otimum Solution is obtined by otsol min ST 00 ILLUSTRTIVE EXMPLE In order to illustrte the bove rocedure consider smll network shown in igure: 8 where ech rc length is reresented s trezoidl uzzy number [9]: Figure: 8 0, 0, 08, ) 0, 0, 0, 08) 5 0, 0, 05, 0) 0, 05, 0, 07) 7 0, 0, 05, 07) 05, 07, 08, 09) 0, 07, 08, 09) 0, 0, 0, 0) 0, 0, 07, 08) llustrtive Exmle Tble: Pth Tble: Fuzzy Sub-Tngulr Form Sub-Tdent Form FST, q, r ) q r ST ) Minimum ST ),),),) 0,0,078) 07,0,078) 0,0,089) ,) 0555,055,05) ,7) 07,0700,089) TOTL Minimum 85 ST ) min ST The Minimum Vlue is obtined using the Sub-Tdent Form in the th, ) The only djcent edge to the th, ) is, ) nd, 7) Thereore the Shortest Pth is 7 Suose the node is gin divided into two edges then gin we hve to use the sme Sub-Tdent Form or the ths nd choose the minimum vlue The Otimum Solution s the minimum cost is given by otsol min ST htt: // wwwijesrtcom Interntionl Journl o Engineeng Sciences & Reserch Technology [89]

7 [Lkshmi, 5): Februry, 0] ISSN: IOR), Publiction Imct Fctor: CONCLUSION The im o this er is to ind the otimum shortest th nd the minimum otimum solution by using the simlest orm clled the Sub-Tdent Form through Fuzzy Sub-Tngulr Form using trezoidl uzzy numbers This method is very simle while comng to ll the existing methods REFERENCES [] LZdeh, Fuzzy Sets, Inormtion nd Control, Vol8, 8-5,95 [] D Dubois nd HPrde, Fuzzy sets nd Systems : cdemic ress, New York 980 [] SOkd nd MGen, Fuzzy shortest th roblem, Comuters nd Industl Engineeng, Vol 7,No -, 5-8,99 [] SHilern, Reresenttion nd liction o uzzy numbers, Fuzzy Sets nd Systems, Vol9, No, 59-8, 997 [5] OkdS nd SoerT, Shortest Pth Problem on network with Fuzzy rc Lengths, Fuzzy Sets nd Systems : vol09, No, 9-0,000 [] Shn-Huo Chen, Oertions on Fuzzy Numbers with Functions Pncile, Tmkng JMngement Sci,Vol), -5 [7] Shn-Huo Chen nd Chin Hsun Hseih, Grded Men Integrtion Reresenttion o Generlized Fuzzy Number, Journl o Chinese Fuzzy System ssocition: Tiwn, vol5, no, -7,000 [8] Shn-Huo Chen nd Chin Hsun Hseih, Reresenttion, Rnking, Distnce nd Similty o L-R tye uzzy number nd lictions, ustrlin Journl o Intelligent Inormtion Processing Systems: ustrli, vol, n0, 7-9,000 [9] ThH, Oertion Reserch Introduction, Prentice Hll o Indi Pvt Ltd, New Delhi,00 [0] SKKhdr Bbu nd Rjesh nndb, Sttisticl otimiztion or Generlised Fuzzy Number, Interntionl Journl o Modern Engineeng Reserch: Vol, 7-5, 0 [] Felix nd Victor Devdoss, New Decgonl Fuzzy Number under Uncertin Linguistic Environment, Interntionl Journl o Mthemtics nd its liction: Vol, 89-97, 05 htt: // wwwijesrtcom Interntionl Journl o Engineeng Sciences & Reserch Technology [90]

On Hermite-Hadamard type integral inequalities for functions whose second derivative are nonconvex

On Hermite-Hadamard type integral inequalities for functions whose second derivative are nonconvex Mly J Mt 34 93 3 On Hermite-Hdmrd tye integrl ineulities for functions whose second derivtive re nonconvex Mehmet Zeki SARIKAYA, Hkn Bozkurt nd Mehmet Eyü KİRİŞ b Dertment of Mthemtics, Fculty of Science

More information

Looking for All Palindromes in a String

Looking for All Palindromes in a String Looking or All Plindromes in String Shih Jng Pn nd R C T Lee Deprtment o Computer Science nd Inormtion Engineering, Ntionl Chi-Nn University, Puli, Nntou Hsien,, Tiwn, ROC sjpn@lgdoccsiencnuedutw, rctlee@ncnuedutw

More information

A Critical Path Problem Using Intuitionistic. Trapezoidal Fuzzy Number

A Critical Path Problem Using Intuitionistic. Trapezoidal Fuzzy Number pplied Mthemticl Sciences, Vol. 8, 0, no. 5, 555-56 HIKRI Ltd, www.m-hikri.com http://dx.doi.org/0.988/ms.0.9 Criticl Pth Prolem Using Intuitionistic Trpezoidl Fuzzy Numer P. Jygowri Deprtment of Mthemtics

More information

In Mathematics for Construction, we learnt that

In Mathematics for Construction, we learnt that III DOUBLE INTEGATION THE ANTIDEIVATIVE OF FUNCTIONS OF VAIABLES In Mthemtics or Construction, we lernt tht the indeinite integrl is the ntiderivtive o ( d ( Double Integrtion Pge Hence d d ( d ( The ntiderivtive

More information

Chapter 4. Additional Variational Concepts

Chapter 4. Additional Variational Concepts Chpter 4 Additionl Vritionl Concepts 137 In the previous chpter we considered clculus o vrition problems which hd ixed boundry conditions. Tht is, in one dimension the end point conditions were speciied.

More information

ENGI 3424 Engineering Mathematics Five Tutorial Examples of Partial Fractions

ENGI 3424 Engineering Mathematics Five Tutorial Examples of Partial Fractions ENGI 44 Engineering Mthemtics Five Tutoril Exmples o Prtil Frctions 1. Express x in prtil rctions: x 4 x 4 x 4 b x x x x Both denomintors re liner non-repeted ctors. The cover-up rule my be used: 4 4 4

More information

A New Grey-rough Set Model Based on Interval-Valued Grey Sets

A New Grey-rough Set Model Based on Interval-Valued Grey Sets Proceedings of the 009 IEEE Interntionl Conference on Systems Mn nd Cybernetics Sn ntonio TX US - October 009 New Grey-rough Set Model sed on Intervl-Vlued Grey Sets Wu Shunxing Deprtment of utomtion Ximen

More information

GENERALIZED OSTROWSKI TYPE INEQUALITIES FOR FUNCTIONS WHOSE LOCAL FRACTIONAL DERIVATIVES ARE GENERALIZED s-convex IN THE SECOND SENSE

GENERALIZED OSTROWSKI TYPE INEQUALITIES FOR FUNCTIONS WHOSE LOCAL FRACTIONAL DERIVATIVES ARE GENERALIZED s-convex IN THE SECOND SENSE Journl of Alied Mthemtics nd Comuttionl Mechnics 6, 5(4), - wwwmcmczl -ISSN 99-9965 DOI: 75/jmcm64 e-issn 353-588 GENERALIZED OSTROWSKI TYPE INEQUALITIES FOR FUNCTIONS WHOSE LOCAL FRACTIONAL DERIVATIVES

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn

More information

We partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b.

We partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b. Mth 255 - Vector lculus II Notes 4.2 Pth nd Line Integrls We begin with discussion of pth integrls (the book clls them sclr line integrls). We will do this for function of two vribles, but these ides cn

More information

Solution to Fredholm Fuzzy Integral Equations with Degenerate Kernel

Solution to Fredholm Fuzzy Integral Equations with Degenerate Kernel Int. J. Contemp. Mth. Sciences, Vol. 6, 2011, no. 11, 535-543 Solution to Fredholm Fuzzy Integrl Equtions with Degenerte Kernel M. M. Shmivnd, A. Shhsvrn nd S. M. Tri Fculty of Science, Islmic Azd University

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Journl o Inequlities in Pure nd Applied Mthemtics http://jipm.vu.edu.u/ Volume 6, Issue 4, Article 6, 2005 MROMORPHIC UNCTION THAT SHARS ON SMALL UNCTION WITH ITS DRIVATIV QINCAI ZHAN SCHOOL O INORMATION

More information

CS344: Introduction to Artificial Intelligence

CS344: Introduction to Artificial Intelligence CS344: Introduction to Artiicil Intelligence Lecture: 22-23 Herbrnd s Theorem roving stisibilit o logic ormule using semntic trees rom Smbolic logic nd mechnicl theorem proving B Runk ilni Under the guidnce

More information

International ejournals

International ejournals Avilble online t www.interntionlejournls.com ISSN 0976-4 Interntionl ejournls Interntionl ejournl of Mthemtics nd Engineering 93 (0) 85 855 RADIAL VIBRATIONS IN MICROPOLAR THIN SPHERICAL SHELL R.Srinivs*,

More information

LECTURE 10: JACOBI SYMBOL

LECTURE 10: JACOBI SYMBOL LECTURE 0: JACOBI SYMBOL The Jcobi symbol We wish to generlise the Legendre symbol to ccomodte comosite moduli Definition Let be n odd ositive integer, nd suose tht s, where the i re rime numbers not necessrily

More information

COSC 3361 Numerical Analysis I Numerical Integration and Differentiation (III) - Gauss Quadrature and Adaptive Quadrature

COSC 3361 Numerical Analysis I Numerical Integration and Differentiation (III) - Gauss Quadrature and Adaptive Quadrature COSC 336 Numericl Anlysis I Numericl Integrtion nd Dierentition III - Guss Qudrture nd Adptive Qudrture Edgr Griel Fll 5 COSC 336 Numericl Anlysis I Edgr Griel Summry o the lst lecture I For pproximting

More information

Hadamard-Type Inequalities for s Convex Functions I

Hadamard-Type Inequalities for s Convex Functions I Punjb University Journl of Mthemtics ISSN 6-56) Vol. ). 5-6 Hdmrd-Tye Ineulities for s Convex Functions I S. Hussin Dertment of Mthemtics Institute Of Sce Technology, Ner Rwt Toll Plz Islmbd Highwy, Islmbd

More information

NUMERICAL INTEGRATION

NUMERICAL INTEGRATION NUMERICAL INTEGRATION How do we evlute I = f (x) dx By the fundmentl theorem of clculus, if F (x) is n ntiderivtive of f (x), then I = f (x) dx = F (x) b = F (b) F () However, in prctice most integrls

More information

Some New Inequalities of Simpson s Type for s-convex Functions via Fractional Integrals

Some New Inequalities of Simpson s Type for s-convex Functions via Fractional Integrals Filomt 3:5 (7), 4989 4997 htts://doi.org/.98/fil75989c Published by Fculty o Sciences nd Mthemtics, University o Niš, Serbi Avilble t: htt://www.m.ni.c.rs/ilomt Some New Ineulities o Simson s Tye or s-convex

More information

Chapter 6 Continuous Random Variables and Distributions

Chapter 6 Continuous Random Variables and Distributions Chpter 6 Continuous Rndom Vriles nd Distriutions Mny economic nd usiness mesures such s sles investment consumption nd cost cn hve the continuous numericl vlues so tht they cn not e represented y discrete

More information

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

1.2. Linear Variable Coefficient Equations. y + b ! = a y + b  Remark: The case b = 0 and a non-constant can be solved with the same idea as above. 1 12 Liner Vrible Coefficient Equtions Section Objective(s): Review: Constnt Coefficient Equtions Solving Vrible Coefficient Equtions The Integrting Fctor Method The Bernoulli Eqution 121 Review: Constnt

More information

Section 14.3 Arc Length and Curvature

Section 14.3 Arc Length and Curvature Section 4.3 Arc Length nd Curvture Clculus on Curves in Spce In this section, we ly the foundtions for describing the movement of n object in spce.. Vector Function Bsics In Clc, formul for rc length in

More information

The Multiperiod Network Design Problem: Lagrangian-based Solution Approaches 2

The Multiperiod Network Design Problem: Lagrangian-based Solution Approaches 2 Konrd-Zuse-Zentrum für Informtionstechnik Berlin Tkustrße 7 D-14195 Berlin-Dhlem Germny ANASTASIOS GIOVANIDIS 1 JONAD PULAJ 1 The ultieriod Network Design Problem: Lgrngin-bsed Solution Aroches 2 1 Zuse

More information

Watson-Crick local languages and Watson-Crick two dimensional local languages

Watson-Crick local languages and Watson-Crick two dimensional local languages Interntionl Journl of Mthemtics nd Soft Comuting Vol.5 No.. (5) 65-7. ISSN Print : 49 338 ISSN Online: 39 55 Wtson-Crick locl lnguges nd Wtson-Crick two dimensionl locl lnguges Mry Jemim Smuel nd V.R.

More information

Intuitionistic Fuzzy Lattices and Intuitionistic Fuzzy Boolean Algebras

Intuitionistic Fuzzy Lattices and Intuitionistic Fuzzy Boolean Algebras Intuitionistic Fuzzy Lttices nd Intuitionistic Fuzzy oolen Algebrs.K. Tripthy #1, M.K. Stpthy *2 nd P.K.Choudhury ##3 # School of Computing Science nd Engineering VIT University Vellore-632014, TN, Indi

More information

Generalized Hermite-Hadamard Type Inequalities for p -Quasi- Convex Functions

Generalized Hermite-Hadamard Type Inequalities for p -Quasi- Convex Functions Ordu Üniv. Bil. Tek. Derg. Cilt:6 Syı: 683-93/Ordu Univ. J. Sci. Tech. Vol:6 No:683-93 -QUASİ-KONVEKS FONKSİYONLAR İÇİN GENELLEŞTİRİLMİŞ HERMİTE-HADAMARD TİPLİ EŞİTSİZLİKLER Özet İm İŞCAN* Giresun Üniversitesi

More information

Infinite Geometric Series

Infinite Geometric Series Infinite Geometric Series Finite Geometric Series ( finite SUM) Let 0 < r < 1, nd let n be positive integer. Consider the finite sum It turns out there is simple lgebric expression tht is equivlent to

More information

Chapter 6 Notes, Larson/Hostetler 3e

Chapter 6 Notes, Larson/Hostetler 3e Contents 6. Antiderivtives nd the Rules of Integrtion.......................... 6. Are nd the Definite Integrl.................................. 6.. Are............................................ 6. Reimnn

More information

Quadrature Rules for Evaluation of Hyper Singular Integrals

Quadrature Rules for Evaluation of Hyper Singular Integrals Applied Mthemticl Sciences, Vol., 01, no. 117, 539-55 HIKARI Ltd, www.m-hikri.com http://d.doi.org/10.19/ms.01.75 Qudrture Rules or Evlution o Hyper Singulr Integrls Prsnt Kumr Mohnty Deprtment o Mthemtics

More information

Hermite-Hadamard type inequalities for harmonically convex functions

Hermite-Hadamard type inequalities for harmonically convex functions Hcettepe Journl o Mthemtics nd Sttistics Volume 43 6 4 935 94 Hermite-Hdmrd type ineulities or hrmoniclly convex unctions İmdt İşcn Abstrct The uthor introduces the concept o hrmoniclly convex unctions

More information

Some new integral inequalities for n-times differentiable convex and concave functions

Some new integral inequalities for n-times differentiable convex and concave functions Avilble online t wwwisr-ublictionscom/jns J Nonliner Sci Al, 10 017, 6141 6148 Reserch Article Journl Homege: wwwtjnscom - wwwisr-ublictionscom/jns Some new integrl ineulities for n-times differentible

More information

MonotonicBehaviourofRelativeIncrementsofPearsonDistributions

MonotonicBehaviourofRelativeIncrementsofPearsonDistributions Globl Journl o Science Frontier Reserch: F Mthemtics nd Decision Sciences Volume 8 Issue 5 Version.0 Yer 208 Type : Double lind Peer Reviewed Interntionl Reserch Journl Publisher: Globl Journls Online

More information

38 Riemann sums and existence of the definite integral.

38 Riemann sums and existence of the definite integral. 38 Riemnn sums nd existence of the definite integrl. In the clcultion of the re of the region X bounded by the grph of g(x) = x 2, the x-xis nd 0 x b, two sums ppered: ( n (k 1) 2) b 3 n 3 re(x) ( n These

More information

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that Arc Length of Curves in Three Dimensionl Spce If the vector function r(t) f(t) i + g(t) j + h(t) k trces out the curve C s t vries, we cn mesure distnces long C using formul nerly identicl to one tht we

More information

USA Mathematical Talent Search Round 1 Solutions Year 25 Academic Year

USA Mathematical Talent Search Round 1 Solutions Year 25 Academic Year 1/1/5. Alex is trying to oen lock whose code is sequence tht is three letters long, with ech of the letters being one of A, B or C, ossibly reeted. The lock hs three buttons, lbeled A, B nd C. When the

More information

Lecture 3 Gaussian Probability Distribution

Lecture 3 Gaussian Probability Distribution Introduction Lecture 3 Gussin Probbility Distribution Gussin probbility distribution is perhps the most used distribution in ll of science. lso clled bell shped curve or norml distribution Unlike the binomil

More information

20 MATHEMATICS POLYNOMIALS

20 MATHEMATICS POLYNOMIALS 0 MATHEMATICS POLYNOMIALS.1 Introduction In Clss IX, you hve studied polynomils in one vrible nd their degrees. Recll tht if p(x) is polynomil in x, the highest power of x in p(x) is clled the degree of

More information

Econ 401A Version 3 John Riley. Homework 3 Due Tuesday, Nov 28. Answers. (a) Double both sides of the second equation and subtract the second equation

Econ 401A Version 3 John Riley. Homework 3 Due Tuesday, Nov 28. Answers. (a) Double both sides of the second equation and subtract the second equation Econ 40 Version John Riley Homeork Due uesdy, Nov 8 nsers nser to question () Double both sides of the second eqution nd subtrct the second eqution 60q 0q 0 60q 0q 0 b b 00q 0 hen q 0 (b) he vlue of the

More information

Chapter 0. What is the Lebesgue integral about?

Chapter 0. What is the Lebesgue integral about? Chpter 0. Wht is the Lebesgue integrl bout? The pln is to hve tutoril sheet ech week, most often on Fridy, (to be done during the clss) where you will try to get used to the ides introduced in the previous

More information

Lumpability and Absorbing Markov Chains

Lumpability and Absorbing Markov Chains umbility nd Absorbing rov Chins By Ahmed A.El-Sheih Dertment of Alied Sttistics & Econometrics Institute of Sttisticl Studies & Reserch (I.S.S.R Ciro University Abstrct We consider n bsorbing rov Chin

More information

Families of Solutions to Bernoulli ODEs

Families of Solutions to Bernoulli ODEs In the fmily of solutions to the differentil eqution y ry dx + = it is shown tht vrition of the initil condition y( 0 = cuses horizontl shift in the solution curve y = f ( x, rther thn the verticl shift

More information

BRIEF NOTES ADDITIONAL MATHEMATICS FORM

BRIEF NOTES ADDITIONAL MATHEMATICS FORM BRIEF NOTES ADDITIONAL MATHEMATICS FORM CHAPTER : FUNCTION. : + is the object, + is the imge : + cn be written s () = +. To ind the imge or mens () = + = Imge or is. Find the object or 8 mens () = 8 wht

More information

k and v = v 1 j + u 3 i + v 2

k and v = v 1 j + u 3 i + v 2 ORTHOGONAL FUNCTIONS AND FOURIER SERIES Orthogonl functions A function cn e considered to e generliztion of vector. Thus the vector concets like the inner roduct nd orthogonlity of vectors cn e extended

More information

We divide the interval [a, b] into subintervals of equal length x = b a n

We divide the interval [a, b] into subintervals of equal length x = b a n Arc Length Given curve C defined by function f(x), we wnt to find the length of this curve between nd b. We do this by using process similr to wht we did in defining the Riemnn Sum of definite integrl:

More information

5 Probability densities

5 Probability densities 5 Probbility densities 5. Continuous rndom vribles 5. The norml distribution 5.3 The norml pproimtion to the binomil distribution 5.5 The uniorm distribution 5. Joint distribution discrete nd continuous

More information

Arithmetic Mean Derivative Based Midpoint Rule

Arithmetic Mean Derivative Based Midpoint Rule Applied Mthemticl Sciences, Vol. 1, 018, no. 13, 65-633 HIKARI Ltd www.m-hikri.com https://doi.org/10.1988/ms.018.858 Arithmetic Men Derivtive Bsed Midpoint Rule Rike Mrjulis 1, M. Imrn, Symsudhuh Numericl

More information

Best Approximation. Chapter The General Case

Best Approximation. Chapter The General Case Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given

More information

NAME: MR. WAIN FUNCTIONS

NAME: MR. WAIN FUNCTIONS NAME: M. WAIN FUNCTIONS evision o Solving Polnomil Equtions i one term in Emples Solve: 7 7 7 0 0 7 b.9 c 7 7 7 7 ii more thn one term in Method: Get the right hnd side to equl zero = 0 Eliminte ll denomintors

More information

CHAPTER 6b. NUMERICAL INTERPOLATION

CHAPTER 6b. NUMERICAL INTERPOLATION CHAPTER 6. NUMERICAL INTERPOLATION A. J. Clrk School o Engineering Deprtment o Civil nd Environmentl Engineering y Dr. Irhim A. Asskk Spring ENCE - Computtion s in Civil Engineering II Deprtment o Civil

More information

10 D. Chakraborty, D. Guha / IJIM Vol. 2, No. 1 (2010) 9-20

10 D. Chakraborty, D. Guha / IJIM Vol. 2, No. 1 (2010) 9-20 Aville online t http://ijim.sriu.c.ir Int. J. Industril Mthemtics Vol., No. (00) 9-0 Addition of Two Generlized Fuzzy Numers D. Chkrorty, D. Guh Deprtment of Mthemtics, IIT-Khrgpur Khrgpur-730, Indi Received

More information

Riemann is the Mann! (But Lebesgue may besgue to differ.)

Riemann is the Mann! (But Lebesgue may besgue to differ.) Riemnn is the Mnn! (But Lebesgue my besgue to differ.) Leo Livshits My 2, 2008 1 For finite intervls in R We hve seen in clss tht every continuous function f : [, b] R hs the property tht for every ɛ >

More information

Experiments, Outcomes, Events and Random Variables: A Revisit

Experiments, Outcomes, Events and Random Variables: A Revisit Eperiments, Outcomes, Events nd Rndom Vriles: A Revisit Berlin Chen Deprtment o Computer Science & Inormtion Engineering Ntionl Tiwn Norml University Reerence: - D. P. Bertseks, J. N. Tsitsiklis, Introduction

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

Expected Value of Function of Uncertain Variables

Expected Value of Function of Uncertain Variables Journl of Uncertin Systems Vol.4, No.3, pp.8-86, 2 Online t: www.jus.org.uk Expected Vlue of Function of Uncertin Vribles Yuhn Liu, Minghu H College of Mthemtics nd Computer Sciences, Hebei University,

More information

Week 10: Line Integrals

Week 10: Line Integrals Week 10: Line Integrls Introduction In this finl week we return to prmetrised curves nd consider integrtion long such curves. We lredy sw this in Week 2 when we integrted long curve to find its length.

More information

Time in Seconds Speed in ft/sec (a) Sketch a possible graph for this function.

Time in Seconds Speed in ft/sec (a) Sketch a possible graph for this function. 4. Are under Curve A cr is trveling so tht its speed is never decresing during 1-second intervl. The speed t vrious moments in time is listed in the tle elow. Time in Seconds 3 6 9 1 Speed in t/sec 3 37

More information

The Algebra (al-jabr) of Matrices

The Algebra (al-jabr) of Matrices Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense

More information

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes Jim Lmbers MAT 169 Fll Semester 2009-10 Lecture 4 Notes These notes correspond to Section 8.2 in the text. Series Wht is Series? An infinte series, usully referred to simply s series, is n sum of ll of

More information

Proceedings of the International Conference on Theory and Applications of Mathematics and Informatics ICTAMI 2003, Alba Iulia

Proceedings of the International Conference on Theory and Applications of Mathematics and Informatics ICTAMI 2003, Alba Iulia Proceedings o the Interntionl Conerence on Theor nd Applictions o Mthemtics nd Inormtics ICTAMI 2003, Al Iuli CARACTERIZATIONS OF TE FUNCTIONS WIT BOUNDED VARIATION Dniel Lesnic Astrct. The present stud

More information

Calculus 2: Integration. Differentiation. Integration

Calculus 2: Integration. Differentiation. Integration Clculus 2: Integrtion The reverse process to differentition is known s integrtion. Differentition f() f () Integrtion As it is the opposite of finding the derivtive, the function obtined b integrtion is

More information

Lecture 1. Functional series. Pointwise and uniform convergence.

Lecture 1. Functional series. Pointwise and uniform convergence. 1 Introduction. Lecture 1. Functionl series. Pointwise nd uniform convergence. In this course we study mongst other things Fourier series. The Fourier series for periodic function f(x) with period 2π is

More information

INEQUALITIES FOR GENERALIZED WEIGHTED MEAN VALUES OF CONVEX FUNCTION

INEQUALITIES FOR GENERALIZED WEIGHTED MEAN VALUES OF CONVEX FUNCTION INEQUALITIES FOR GENERALIZED WEIGHTED MEAN VALUES OF CONVEX FUNCTION BAI-NI GUO AND FENG QI Abstrct. In the rticle, using the Tchebycheff s integrl inequlity, the suitble properties of double integrl nd

More information

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1 The Fundmentl Theorem of Clculus As we continue to study the re problem, let s think bck to wht we know bout computing res of regions enclosed by curves. If we wnt to find the re of the region below the

More information

A note on proper curvature collineations in Bianchi types VI

A note on proper curvature collineations in Bianchi types VI note on roer curvture collinetions in inci tyes VI nd VII sce-times Gulm Sbbir nd mjd li Fculty o Engineering Sciences GIK Institute o Engineering Sciences nd Tecnology Toi Swbi NWFP Pkistn Emil: sbbir@gikieduk

More information

A short introduction to local fractional complex analysis

A short introduction to local fractional complex analysis A short introduction to locl rctionl complex nlysis Yng Xio-Jun Deprtment o Mthemtics Mechnics, hin University o Mining Technology, Xuhou mpus, Xuhou, Jingsu, 228, P R dyngxiojun@63com This pper presents

More information

On Arithmetic Functions

On Arithmetic Functions Globl ournl of Mthemticl Sciences: Theory nd Prcticl ISSN 0974-00 Volume 5, Number (0, 7- Interntionl Reserch Publiction House htt://wwwirhousecom On Arithmetic Functions Bhbesh Ds Dertment of Mthemtics,

More information

Quadratic Residues. Chapter Quadratic residues

Quadratic Residues. Chapter Quadratic residues Chter 8 Qudrtic Residues 8. Qudrtic residues Let n>be given ositive integer, nd gcd, n. We sy tht Z n is qudrtic residue mod n if the congruence x mod n is solvble. Otherwise, is clled qudrtic nonresidue

More information

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004 Advnced Clculus: MATH 410 Notes on Integrls nd Integrbility Professor Dvid Levermore 17 October 2004 1. Definite Integrls In this section we revisit the definite integrl tht you were introduced to when

More information

Maximum Likelihood Estimation for Allele Frequencies. Biostatistics 666

Maximum Likelihood Estimation for Allele Frequencies. Biostatistics 666 Mximum Likelihood Estimtion for Allele Frequencies Biosttistics 666 Previous Series of Lectures: Introduction to Colescent Models Comuttionlly efficient frmework Alterntive to forwrd simultions Amenble

More information

Machine Design II Prof. K.Gopinath & Prof. M.M.Mayuram. Drum Brakes. Among the various types of devices to be studied, based on their practical use,

Machine Design II Prof. K.Gopinath & Prof. M.M.Mayuram. Drum Brakes. Among the various types of devices to be studied, based on their practical use, chine Design II Prof. K.Gointh & Prof...yurm Drum Brkes Among the vrious tyes of devices to be studied, bsed on their rcticl use, the discussion will be limited to Drum brkes of the following tyes which

More information

Czechoslovak Mathematical Journal, 55 (130) (2005), , Abbotsford. 1. Introduction

Czechoslovak Mathematical Journal, 55 (130) (2005), , Abbotsford. 1. Introduction Czechoslovk Mthemticl Journl, 55 (130) (2005), 933 940 ESTIMATES OF THE REMAINDER IN TAYLOR S THEOREM USING THE HENSTOCK-KURZWEIL INTEGRAL, Abbotsford (Received Jnury 22, 2003) Abstrct. When rel-vlued

More information

Hermite-Hadamard and Simpson-like Type Inequalities for Differentiable p-quasi-convex Functions

Hermite-Hadamard and Simpson-like Type Inequalities for Differentiable p-quasi-convex Functions Filomt 3:9 7 5945 5953 htts://doi.org/.98/fil79945i Pulished y Fculty of Sciences nd Mthemtics University of Niš Seri Aville t: htt://www.mf.ni.c.rs/filomt Hermite-Hdmrd nd Simson-like Tye Ineulities for

More information

By Ken Standfield, Director Research & Development, KNOWCORP

By Ken Standfield, Director Research & Development, KNOWCORP 1 THE NORMAL DISTRIBUTION METHOD ARTICLE NO.: 10080 By Ken Stndfield, Director Reserch & Development, KNOWCORP http://www.knowcorp.com Emil: ks@knowcorp.com INTRODUCTION The following methods hve been

More information

On some inequalities for s-convex functions and applications

On some inequalities for s-convex functions and applications Özdemir et l Journl of Ineulities nd Alictions 3, 3:333 htt://wwwjournlofineulitiesndlictionscom/content/3//333 R E S E A R C H Oen Access On some ineulities for s-convex functions nd lictions Muhmet Emin

More information

Chapter 10: Symmetrical Components and Unbalanced Faults, Part II

Chapter 10: Symmetrical Components and Unbalanced Faults, Part II Chpter : Symmetricl Components nd Unblnced Fults, Prt.4 Sequence Networks o Loded Genertor n the igure to the right is genertor supplying threephse lod with neutrl connected through impednce n to ground.

More information

Line Integrals. Partitioning the Curve. Estimating the Mass

Line Integrals. Partitioning the Curve. Estimating the Mass Line Integrls Suppose we hve curve in the xy plne nd ssocite density δ(p ) = δ(x, y) t ech point on the curve. urves, of course, do not hve density or mss, but it my sometimes be convenient or useful to

More information

Calculus of Variations

Calculus of Variations Clculus of Vritions Com S 477/577 Notes) Yn-Bin Ji Dec 4, 2017 1 Introduction A functionl ssigns rel number to ech function or curve) in some clss. One might sy tht functionl is function of nother function

More information

The graphs of Rational Functions

The graphs of Rational Functions Lecture 4 5A: The its of Rtionl Functions s x nd s x + The grphs of Rtionl Functions The grphs of rtionl functions hve severl differences compred to power functions. One of the differences is the behvior

More information

7.6 The Use of Definite Integrals in Physics and Engineering

7.6 The Use of Definite Integrals in Physics and Engineering Arknss Tech University MATH 94: Clculus II Dr. Mrcel B. Finn 7.6 The Use of Definite Integrls in Physics nd Engineering It hs been shown how clculus cn be pplied to find solutions to geometric problems

More information

Euler, Ioachimescu and the trapezium rule. G.J.O. Jameson (Math. Gazette 96 (2012), )

Euler, Ioachimescu and the trapezium rule. G.J.O. Jameson (Math. Gazette 96 (2012), ) Euler, Iochimescu nd the trpezium rule G.J.O. Jmeson (Mth. Gzette 96 (0), 36 4) The following results were estblished in recent Gzette rticle [, Theorems, 3, 4]. Given > 0 nd 0 < s

More information

Introduction to Determinants. Remarks. Remarks. The determinant applies in the case of square matrices

Introduction to Determinants. Remarks. Remarks. The determinant applies in the case of square matrices Introduction to Determinnts Remrks The determinnt pplies in the cse of squre mtrices squre mtrix is nonsingulr if nd only if its determinnt not zero, hence the term determinnt Nonsingulr mtrices re sometimes

More information

Generalization of Quasi-Differentiable Maps

Generalization of Quasi-Differentiable Maps Globl Journl of Mtheticl Sciences: Theory nd Prcticl. ISSN 0974-300 Volue 4, Nuber 3 (0),. 49-55 Interntionl Reserch Publiction House htt://www.irhouse.co Generliztion of Qusi-Differentible Ms Sushil Kur

More information

DETERMINATION OF MECHANICAL PROPERTIES OF NANOSTRUCTURES WITH COMPLEX CRYSTAL LATTICE USING MOMENT INTERACTION AT MICROSCALE

DETERMINATION OF MECHANICAL PROPERTIES OF NANOSTRUCTURES WITH COMPLEX CRYSTAL LATTICE USING MOMENT INTERACTION AT MICROSCALE Determintion RevAdvMterSci of mechnicl 0(009) -7 properties of nnostructures with complex crystl lttice using DETERMINATION OF MECHANICAL PROPERTIES OF NANOSTRUCTURES WITH COMPLEX CRYSTAL LATTICE USING

More information

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS. THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS RADON ROSBOROUGH https://intuitiveexplntionscom/picrd-lindelof-theorem/ This document is proof of the existence-uniqueness theorem

More information

Hybrid Group Acceptance Sampling Plan Based on Size Biased Lomax Model

Hybrid Group Acceptance Sampling Plan Based on Size Biased Lomax Model Mthemtics nd Sttistics 2(3): 137-141, 2014 DOI: 10.13189/ms.2014.020305 http://www.hrpub.org Hybrid Group Acceptnce Smpling Pln Bsed on Size Bised Lomx Model R. Subb Ro 1,*, A. Ng Durgmmb 2, R.R.L. Kntm

More information

Problem Set 3 Solutions

Problem Set 3 Solutions Chemistry 36 Dr Jen M Stndrd Problem Set 3 Solutions 1 Verify for the prticle in one-dimensionl box by explicit integrtion tht the wvefunction ψ ( x) π x is normlized To verify tht ψ ( x) is normlized,

More information

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space.

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space. Clculus 3 Li Vs Spce Curves Recll the prmetric equtions of curve in xy-plne nd compre them with prmetric equtions of curve in spce. Prmetric curve in plne x = x(t) y = y(t) Prmetric curve in spce x = x(t)

More information

Conservation Law. Chapter Goal. 5.2 Theory

Conservation Law. Chapter Goal. 5.2 Theory Chpter 5 Conservtion Lw 5.1 Gol Our long term gol is to understnd how mny mthemticl models re derived. We study how certin quntity chnges with time in given region (sptil domin). We first derive the very

More information

10 Vector Integral Calculus

10 Vector Integral Calculus Vector Integrl lculus Vector integrl clculus extends integrls s known from clculus to integrls over curves ("line integrls"), surfces ("surfce integrls") nd solids ("volume integrls"). These integrls hve

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim Mth 9 Course Summry/Study Guide Fll, 2005 [1] Limits Definition of Limit: We sy tht L is the limit of f(x) s x pproches if f(x) gets closer nd closer to L s x gets closer nd closer to. We write lim f(x)

More information

Chapter 5 : Continuous Random Variables

Chapter 5 : Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 216 Néhémy Lim Chpter 5 : Continuous Rndom Vribles Nottions. N {, 1, 2,...}, set of nturl numbers (i.e. ll nonnegtive integers); N {1, 2,...}, set of ll

More information

Math Calculus with Analytic Geometry II

Math Calculus with Analytic Geometry II orem of definite Mth 5.0 with Anlytic Geometry II Jnury 4, 0 orem of definite If < b then b f (x) dx = ( under f bove x-xis) ( bove f under x-xis) Exmple 8 0 3 9 x dx = π 3 4 = 9π 4 orem of definite Problem

More information

Math 554 Integration

Math 554 Integration Mth 554 Integrtion Hndout #9 4/12/96 Defn. A collection of n + 1 distinct points of the intervl [, b] P := {x 0 = < x 1 < < x i 1 < x i < < b =: x n } is clled prtition of the intervl. In this cse, we

More information

Part I: Basic Concepts of Thermodynamics

Part I: Basic Concepts of Thermodynamics Prt I: Bsic Concepts o Thermodynmics Lecture 4: Kinetic Theory o Gses Kinetic Theory or rel gses 4-1 Kinetic Theory or rel gses Recll tht or rel gses: (i The volume occupied by the molecules under ordinry

More information

FBR Neutronics: Breeding potential, Breeding Ratio, Breeding Gain and Doubling time

FBR Neutronics: Breeding potential, Breeding Ratio, Breeding Gain and Doubling time FBR eutronics: Breeding potentil, Breeding Rtio, Breeding Gin nd Doubling time K.S. Rjn Proessor, School o Chemicl & Biotechnology SASTRA University Joint Inititive o IITs nd IISc Funded by MHRD Pge 1

More information

Sections 5.2: The Definite Integral

Sections 5.2: The Definite Integral Sections 5.2: The Definite Integrl In this section we shll formlize the ides from the lst section to functions in generl. We strt with forml definition.. The Definite Integrl Definition.. Suppose f(x)

More information

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties; Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

Chapter 1: Fundamentals

Chapter 1: Fundamentals Chpter 1: Fundmentls 1.1 Rel Numbers Types of Rel Numbers: Nturl Numbers: {1, 2, 3,...}; These re the counting numbers. Integers: {... 3, 2, 1, 0, 1, 2, 3,...}; These re ll the nturl numbers, their negtives,

More information

On Second Derivative-Free Zero Finding Methods

On Second Derivative-Free Zero Finding Methods 010 Americn Control Conerence Mrriott Wterront, Bltimore, MD, USA June 30-July 0, 010 FrC07.4 On Second Derivtive-Free Zero Finding Methods Mohmmed A. Hsn Deprtment o Electricl & Computer Engineering University

More information