Lecture 8: Camera Calibra0on

Size: px
Start display at page:

Download "Lecture 8: Camera Calibra0on"

Transcription

1 Lecture 8: Cer Clbron rofessor Fe- Fe L Stnford Vson Lb Lecture 8 -!

2 Wht we wll lern tody? Revew cer preters Affne cer odel (roble Set (Q4)) Cer clbron Vnshng ponts nd lnes (roble Set (Q)) Redng: [F] Chpter [HZ] Chpter 7, 8.6 Lecture 8 -!

3 Wht we wll lern tody? Revew cer preters Affne cer odel Cer clbron Vnshng ponts nd lnes Redng: [F] Chpter [HZ] Chpter 7, 8.6 Lecture 8 -!

4 f rojec've cer O c f focl length Lecture 8 -! 4

5 f rojec've cer O c y y c C[u o, v o ] x c x f focl length u o, v o offset Lecture 8 -! 5

6 f rojec've cer O c Unts: k,l [pxel/] f [] Non- squre pxels α, β [pxel] f focl length u o, v o offset α, β non- squre pxels Lecture 8 -! 6

7 f rojec've cer c O c ' α s β u v o o K hs 5 degrees of freedo! x y z f focl length u o, v o offset α, β non- squre pxels θ skew ngle Lecture 8 -! 7

8 f rojec've cer c O c ʹ α α cotθ β sn θ u v o o K hs 5 degrees of freedo! x y z f focl length u o, v o offset α, β non- squre pxels θ skew ngle Lecture 8 -! 8

9 f rojec've cer R,T c j w k w O w O c w T R T 4 ~ RO c 4 w f focl length u o, v o offset α, β non- squre pxels θ skew ngle R,T roton, trnslon Lecture 8 -! 9

10 f rojec've cer R,T j w k w O w O c w ʹ M w K[ R T] w Internl (ntrnsc) preters Externl (extrnsc) preters f focl length u o, v o offset α β, non- squre pxels θ skew ngle R,T roton, trnslon Lecture 8 -!

11 rojec've cer ʹ K[ R T] w M w Internl (ntrnsc) preters Externl (extrnsc) preters Lecture 8 -!

12 Lecture 8 -! rojec've cer M w ʹ [ ] w T K R v u cot K o o sn θ β θ α α T T T R r r r z y x t t t T 4

13 Lecture 8 -! Gol of clbr'on M w ʹ [ ] w T K R v u cot K o o sn θ β θ α α T T T R r r r z y x t t t T 4 Este ntrnsc nd extrnsc preters fro or ulple ges

14 Wht we wll lern tody? Revew cer preters Affne cer odel (roble Set (Q4)) Cer clbron Vnshng ponts nd lnes Redng: [F] Chpter [HZ] Chpter 7, 8.6 Lecture 8 -! 4

15 Wek perspec've projec'on x' x y' y where f z ' gnfcon Relve scene depth s sll copred to ts dstnce fro the cer Lecture 8 -! 5

16 Orthogrphc (ffne) projec'on x' y' x y Dstnce fro center of projecon to ge plne s nfnte Lecture 8 -! 6

17 Lecture 8 -! 7 Affne cers [ ] T R K ' s K y x α α T R K M Affne cse rllel projecon trx T R K M y x s K o y o x α α rojecve cse Copred to

18 Lecture 8 -! 8 Reeber. rojecves: y x H y x b v t A y' x' p Affnes: y x H y x t A y' x'

19 Lecture 8 -! 9 [ ] T R K ' y x K α α T R K M b A 4ffne] [4 ffne] [ b b M + + ' M b b Z Y X y x Euc b A [ ] b A M M Euc We cn obtn ore copct forulon thn: Affne cers

20 Affne cers To recp: M cer trx ' u v A + b M ; M Ths noton s useful when we ll dscuss ffne structure fro oon [non- hoogeneous ge coordntes] [ A b] Lecture 8 -!

21 Affne cers Wek perspecve uch spler th. Accurte when object s sll nd dstnt. Most useful for recognon. nhole perspecve uch ore ccurte for scenes. Used n structure fro oon. Lecture 8 -!

22 Wek perspec've projec'on - exples The Kngx Eperor's Southern Inspec7on Tour (69-698) By Wng Hu You tube vdeo clck here Lecture 8 -!

23 Wek perspec've projec'on - exples Qngng Fes7vl by the Rversde Zhng Zedun ~9 AD Lecture 8 -!

24 Wht we wll lern tody? Revew cer preters Affne cer odel Cer clbron Vnshng ponts nd lnes Redng: [F] Chpter [HZ] Chpter 7, 8.6 Lecture 8 -! 4

25 Clbr'on roble Clbron rg j C n wth known posons n [O w, w, j w, k w ] p, p n known posons n the ge Gol: copute ntrnsc nd extrnsc preters Lecture 8 -! 5

26 Reeber the dgtl Mchelngelo project? Lecture 8 -! 6

27 Clbr'on roble Clbron rg j C How ny correspondences do we need? M hs unknown We need equons 6 correspondences would do t Lecture 8 -! 7

28 Clbr'on roble Clbron rg ge j C In prcce: user y need to look t the ge nd select the n>6 correspondences Lecture 8 -! 8

29 Lecture 8 -! 9 Clbr'on roble j C M p v u p M n pxels

30 Lecture 8 -! Clbr'on roble u ) ( v ) ( u v v u ) ( v ) ( u

31 Lecture 8 -! Clbr'on roble ) ( v ) ( u ) ( v ) ( u ) ( n n n v ) ( n n n u

32 Block Mtrx Mulplcon A A A A A B B B B B Wht s AB? AB A A B B + + A A B B A A B B + + A A B B Lecture 8 -!

33 Clbr'on roble u ( ) + v ( ) + known unknown u v n n ( n ) + n ( n ) + n Hoogenous lner syste x4 n x def 4x T T T x Lecture 8 -!

34 Hoogeneous M x N Lner Systes Mnuber of equons Nnuber of unknown A x Rectngulr syste (M>N) s lwys soluon To fnd non- zero soluon Mnze Ax under the constrnt x Lecture 8 -! 4

35 Clbr'on roble How do we solve ths hoogenous lner syste? Sngulr Vlue Decoposon (SVD) Lecture 8 -! 5

36 Clbr'on roble Copute SVD decoposon of U D V T n Lst colun of V gves Why? See pge 59 of Hrtley & Zssern M M p Lecture 8 -! 6

37 Lecture 8 -! 7 Extrc'ng cer preters A T T T A [ ] T K R ± ρ b b b b Ested vlues ) ( u o ρ ) ( v o ρ ( ) ( ) cos θ Intrnsc b v u cot K o o sn θ β θ α α ρ

38 Theore (Fugers, 99) [ T] [ K R KT ] [ A b] M K R A K α s cx c β y α f β f k; l Lecture 8 -! 8

39 Lecture 8 -! 9 Extrc'ng cer preters A T T T A [ ] T K R b b b b Ested vlues Intrnsc θ ρ α sn θ ρ β sn b f ρ

40 Lecture 8 -! 4 Extrc'ng cer preters Extrnsc ( ) r r ± r r r b K T ρ A T T T A [ ] T K R b b b b Ested vlues b ρ

41 Clbr'on Deo Cer Clbr7on Toolbox for Mtlb J. Bouguet [998- ] hxp:// Lecture 8 -! 4

42 Clbr'on Deo Lecture 8 -! 4

43 Clbr'on Deo Lecture 8 -! 4

44 Clbr'on Deo Lecture 8 -! 44

45 Clbr'on Deo Lecture 8 -! 45

46 Clbr'on Deo Lecture 8 -! 46

47 Clbr'on Deo Lecture 8 -! 47

48 Clbr'on Deo Lecture 8 -! 48

49 Wht we wll lern tody? Revew cer preters Affne cer odel Cer clbron Vnshng ponts nd lnes (roble Set (Q)) Redng: [F] Chpter [HZ] Chpter 7, 8.6 Lecture 8 -! 49

50 roper'es of rojec'on onts project to ponts Lnes project to lnes Lecture 8 -! 5

51 roper'es of rojec'on Angles re not preserved rllel lnes eet Vnshng pont Lecture 8 -! 5

52 Lecture 8 -! 5 Lnes n D plne c by x + + -c/b -/b c b l If x [ x, x ] T l c b x x T l x y

53 Lnes n D plne Intersecng lnes x roof l l l lʹ l lʹ lʹ l lʹ ( l lʹ ) l ( l lʹ ) lʹ x y x lʹ x l x lʹ x s the ntersecng pont x Lecture 8 -! 5

54 Lecture 8 -! 54 onts t nfnty (del ponts) x, x x x x c b l ʹ ʹ c b l ʹ ʹ b c ) (c l l Let s ntersect two prllel lnes: Agree wth the generl de of two lnes ntersecng t nfnty l lʹ x x x

55 Lecture 8 -! 55 Lnes t nfnty l Set of del ponts les on lne clled the lne t nfnty How does t look lke? l l T x x Indeed:

56 Lecture 8 -! 56 rojec've projec'ons of lnes t nfnty (D) l H l T ʹ b v t A H? l H T b t t b v t A y x T s t lne t nfnty? no!? l H T A T T T T A t A t A

57 rojec've projec'ons of lnes t nfnty (D) horzon l hor T H l Are these two lnes prllel or not? Recognon helps reconstrucon! Huns hve lernt ths - Recognze the horzon lne - Mesure f the lnes eet t the horzon - f yes, these lnes re // Lecture 8 -! 57

58 Vnshng ponts ( del ponts n D) Vnshng ponts ponts where prllel lnes ntersect n D Ige of vnshng pont d ddrecon of the lne M K[ R T] v K d v C Lecture 8 -! 58

59 Horzon Sets of prllel lnes on the se plne led to collner vnshng ponts [The lne s clled the horzon for tht plne] horzon Lecture 8 -! 59

60 Horzon n l horz C T n K l horz Lecture 8 -! 6

61 Applc'on These trnsforons re used n sngle vew etrology Crns & Zssern, 99 Lecture 8 -! 6

62 Applc'on these trnsforons re used n sngle vew etrology Crns & Zssern, 99 Lecture 8 -! 6

63 Applc'on these trnsforons re used n sngle vew etrology Crns & Zssern, 99 L Trnt' (46) Frenze, Snt Mr Novell; by Mscco (4-48) Lecture 8 -!6

64 Lecture 8 -! 64

65 Applc'on these trnsforons re used n sngle vew etrology Hoe et l, 5 hxp:// wre.htl Lecture 8 -! 65

66 Applc'on these trnsforons re used n sngle vew etrology Sxen, Sun, Ng, 5 A softwre: MkeD Convert your ge nto d odel hxp://ked.stnford.edu/ hxp://ked.stnford.edu/ges/vewd/85 hxp://ked.stnford.edu/ges/vewd/9?noforwrdtrue hxp://ked.stnford.edu/ges/vewd/8 Lecture 8 -! 66

67 Wht we hve lerned tody Revew cer preters Affne cer odel (roble Set (Q4)) Cer clbron Vnshng ponts nd lnes (roble Set (Q)) Redng: [F] Chpter [HZ] Chpter 7, 8.6 Lecture 8 -! 67

68 Suppleentry Mterls Lecture 8 -! 68

69 Degenercy nd dstoron n rel- world cer clbron Lecture 8 -! 69

70 Degenerte cses s cnnot le on the se plne! onts cnnot le on the ntersecon curve of two qudrc surfces Lecture 8 -! 7

71 Rdl Dstor'on Cused by perfect lenses Devons re ost noceble for rys tht pss through the edge of the lens No dstorton n cushon Brrel Lecture 8 -! 7

72 Lecture 8 -! 7 Rdl Dstor'on p v u M λ λ d v v c u b v u d + + u ± p p κ p d λ olynol funcon Dstoron coeffcent To odel rdl behvor

73 Lecture 8 -! 7 Rdl Dstor'on v u p Q q q q q q q q p v u M λ λ Q v u q q q q Non- lner syste of equons

74 Generl Clbr'on roble X f () f( ) s nonlner esureent preter - Newton Method - Levenberg- Mrqurdt Algorth Iterve, strts fro nl soluon My be slow f nl soluon fr fro rel soluon Ested soluon y be funcon of the nl soluon Newton requres the coputon of J, H Levenberg- Mrqurdt doesn t requre the coputon of H Lecture 8 -! 74

75 Generl Clbr'on roble X f () f( ) s nonlner esureent preter A possble lgorth. Solve lner prt of the syste to fnd pproxted soluon. Use ths soluon s nl condon for the full syste. Solve full syste (ncludng dstoron) usng Newton or L.M. Lecture 8 -! 75

76 Generl Clbr'on roble X f () f( ) s nonlner esureent preter Typcl ssupons for copung nl condon : - zero- skew, squre pxel - u o, v o known center of the ge - no dstoron Just este f nd R, T Lecture 8 -! 76

77 Lecture 8 -! 77 Ts s clbr'on technque. Este nd frst: v u p λ How to do tht? d v u Hnt: slope v u

78 Lecture 8 -! 78 Ts s clbr'on technque. Este nd frst: v u p λ ) ( ) ( u v ) ( ) ( u v ) ( ) ( n n n n u v Q n n v u ) ( ) ( ) ( ) (

79 Lecture 8 -! 79 Ts s clbr'on technque. Once tht nd re ested, este : v u p λ s non lner funcon of λ There re soe degenerte confgurons for whch nd cnnot be coputed

Lecture 8: Camera Calibration

Lecture 8: Camera Calibration Lecture 8: Cer Clbrton rofessor Fe-Fe L Stnford Vson Lb Fe-Fe L 9-Oct- Wht we wll lern tody? Revew cer preters Affne cer odel (roble Set (Q4)) Cer clbrton Vnshng ponts nd lnes (roble Set (Q)) Redng: [F]

More information

Lecture 3 Camera Models 2 & Camera Calibration. Professor Silvio Savarese Computational Vision and Geometry Lab

Lecture 3 Camera Models 2 & Camera Calibration. Professor Silvio Savarese Computational Vision and Geometry Lab Lecture Cer Models Cer Clbrton rofessor Slvo Svrese Coputtonl Vson nd Geoetry Lb Slvo Svrese Lecture - Jn 7 th, 8 Lecture Cer Models Cer Clbrton Recp of cer odels Cer clbrton proble Cer clbrton wth rdl

More information

Lecture 3. Camera Models 2 & Camera Calibration. Professor Silvio Savarese Computational Vision and Geometry Lab. 13- Jan- 15.

Lecture 3. Camera Models 2 & Camera Calibration. Professor Silvio Savarese Computational Vision and Geometry Lab. 13- Jan- 15. Lecture Caera Models Caera Calbraton rofessor Slvo Savarese Coputatonal Vson and Geoetry Lab Slvo Savarese Lecture - - Jan- 5 Lecture Caera Models Caera Calbraton Recap of caera odels Caera calbraton proble

More information

Review: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681

Review: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681 Revew: Trnsforons Trnsforons Modelng rnsforons buld cople odels b posonng (rnsforng sple coponens relve o ech oher ewng rnsforons plcng vrul cer n he world rnsforon fro world coordnes o cer coordnes Perspecve

More information

Multiple view geometry

Multiple view geometry EECS 442 Computer vson Multple vew geometry Perspectve Structure from Moton - Perspectve structure from moton prolem - mgutes - lgerc methods - Fctorzton methods - Bundle djustment - Self-clrton Redng:

More information

Geometric Camera Calibration

Geometric Camera Calibration Geoetrc Caera Calbraton EECS 598-8 Fall 24! Foundatons of Coputer Vson!! Instructor: Jason Corso (jjcorso)! web.eecs.uch.edu/~jjcorso/t/598f4!! Readngs: F.; SZ 6. (FL 4.6; extra notes)! Date: 9/7/4!! Materals

More information

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.)

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.) nnouncements Imge Formton nd Cmers (cont.) ssgnment : Cmer & Lenses, gd Trnsformtons, nd Homogrph wll be posted lter tod. CSE 5 Lecture 5 CS5, Fll CS5, Fll CS5, Fll The course rt : The phscs of mgng rt

More information

Lecture 3 Camera Models 2 & Camera Calibration. Lecture 3 Camera Models 2 & Camera Calibration. Projective camera

Lecture 3 Camera Models 2 & Camera Calibration. Lecture 3 Camera Models 2 & Camera Calibration. Projective camera Lectre Cer Models Cer Clrton rofessor Slo Srese Copttonl Vson nd Geoetry L Slo Srese Lectre - - Jn- 5 Lectre Cer Models Cer Clrton In ths lectre, e ll dscss the topc of cer clrton. We ll strt th recp of

More information

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

Lecture 4 Single View Metrology

Lecture 4 Single View Metrology Lecture 4 Single View Metrology Professor Silio Srese Computtionl Vision nd Geometry Lb Silio Srese Lecture 4-6-Jn-5 Lecture 4 Single View Metrology Reiew clibrtion nd 2D trnsformtions Vnishing points

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

Geometric Correction or Georeferencing

Geometric Correction or Georeferencing Geoetrc Correcton or Georeferencng GEOREFERENCING: fro ge to p Coordntes on erth: (λ, φ) ge: (, ) p: (, ) rel nteger Trnsfortons (nvolvng deforton): erth-to-ge: χ erth-to-p: ψ (crtogrphc proecton) ge-to-p:

More information

INTRODUCTION TO COMPLEX NUMBERS

INTRODUCTION TO COMPLEX NUMBERS INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced

More information

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU Mth 497C Sep 17, 004 1 Curves nd Surfces Fll 004, PSU Lecture Notes 3 1.8 The generl defnton of curvture; Fox-Mlnor s Theorem Let α: [, b] R n be curve nd P = {t 0,...,t n } be prtton of [, b], then the

More information

An Ising model on 2-D image

An Ising model on 2-D image School o Coputer Scence Approte Inerence: Loopy Bele Propgton nd vrnts Prolstc Grphcl Models 0-708 Lecture 4, ov 7, 007 Receptor A Knse C Gene G Receptor B Knse D Knse E 3 4 5 TF F 6 Gene H 7 8 Hetunndn

More information

Torsion, Thermal Effects and Indeterminacy

Torsion, Thermal Effects and Indeterminacy ENDS Note Set 7 F007bn orson, herml Effects nd Indetermncy Deformton n orsonlly Loded Members Ax-symmetrc cross sectons subjected to xl moment or torque wll remn plne nd undstorted. At secton, nternl torque

More information

Main questions Motivation: Recognition

Main questions Motivation: Recognition Tod Algnen & Wrpng Thursd, Oc 9 Algnen & wrpng d rnsforons Forwrd nd nverse ge wrpng Consrucng oscs Hoogrphes Rous fng wh RANSAC Krsen Grun UT-Ausn Mn quesons Movon: Recognon T Wrpng: Gven source ge nd

More information

II The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions

II The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions II The Z Trnsfor Tocs o e covered. Inroducon. The Z rnsfor 3. Z rnsfors of eleenry funcons 4. Proeres nd Theory of rnsfor 5. The nverse rnsfor 6. Z rnsfor for solvng dfference equons II. Inroducon The

More information

7.2 Volume. A cross section is the shape we get when cutting straight through an object.

7.2 Volume. A cross section is the shape we get when cutting straight through an object. 7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A

More information

Physics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum

Physics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum Recall that there was ore to oton than just spee A ore coplete escrpton of oton s the concept of lnear oentu: p v (8.) Beng a prouct of a scalar () an a vector (v), oentu s a vector: p v p y v y p z v

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting CISE 3: umercl Methods Lecture 5 Topc 4 Lest Squres Curve Fttng Dr. Amr Khouh Term Red Chpter 7 of the tetoo c Khouh CISE3_Topc4_Lest Squre Motvton Gven set of epermentl dt 3 5. 5.9 6.3 The reltonshp etween

More information

GEOMETRY OF THE CIRCLE TANGENTS & SECANTS

GEOMETRY OF THE CIRCLE TANGENTS & SECANTS Geometry Of The ircle Tngents & Secnts GEOMETRY OF THE IRLE TNGENTS & SENTS www.mthletics.com.u Tngents TNGENTS nd N Secnts SENTS Tngents nd secnts re lines tht strt outside circle. Tngent touches the

More information

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

Discussion Introduction P212, Week 1 The Scientist s Sixth Sense. Knowing what the answer will look like before you start.

Discussion Introduction P212, Week 1 The Scientist s Sixth Sense. Knowing what the answer will look like before you start. Discussion Introduction P1, Week 1 The Scientist s Sith Sense As scientist or engineer, uch of your job will be perforing clcultions, nd using clcultions perfored by others. You ll be doing plenty of tht

More information

Review of linear algebra. Nuno Vasconcelos UCSD

Review of linear algebra. Nuno Vasconcelos UCSD Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)

More information

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x) DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng

More information

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

Exponents and Powers

Exponents and Powers EXPONENTS AND POWERS 9 Exponents nd Powers CHAPTER. Introduction Do you know? Mss of erth is 5,970,000,000,000, 000, 000, 000, 000 kg. We hve lredy lernt in erlier clss how to write such lrge nubers ore

More information

Fitting a Polynomial to Heat Capacity as a Function of Temperature for Ag. Mathematical Background Document

Fitting a Polynomial to Heat Capacity as a Function of Temperature for Ag. Mathematical Background Document Fttng Polynol to Het Cpcty s Functon of Teperture for Ag. thetcl Bckground Docuent by Theres Jul Zelnsk Deprtent of Chestry, edcl Technology, nd Physcs onouth Unversty West ong Brnch, J 7764-898 tzelns@onouth.edu

More information

LECTURE :FACTOR ANALYSIS

LECTURE :FACTOR ANALYSIS LCUR :FACOR ANALYSIS Rta Osadchy Based on Lecture Notes by A. Ng Motvaton Dstrbuton coes fro MoG Have suffcent aount of data: >>n denson Use M to ft Mture of Gaussans nu. of tranng ponts If

More information

Model Fitting and Robust Regression Methods

Model Fitting and Robust Regression Methods Dertment o Comuter Engneerng Unverst o Clorn t Snt Cruz Model Fttng nd Robust Regresson Methods CMPE 64: Imge Anlss nd Comuter Vson H o Fttng lnes nd ellses to mge dt Dertment o Comuter Engneerng Unverst

More information

Definition of Tracking

Definition of Tracking Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

along the vector 5 a) Find the plane s coordinate after 1 hour. b) Find the plane s coordinate after 2 hours. c) Find the plane s coordinate

along the vector 5 a) Find the plane s coordinate after 1 hour. b) Find the plane s coordinate after 2 hours. c) Find the plane s coordinate L8 VECTOR EQUATIONS OF LINES HL Mth - Sntowski Vector eqution of line 1 A plne strts journey t the point (4,1) moves ech hour long the vector. ) Find the plne s coordinte fter 1 hour. b) Find the plne

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

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

Lecture 4: Piecewise Cubic Interpolation

Lecture 4: Piecewise Cubic Interpolation Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml

More information

Lecture 8. Band theory con.nued

Lecture 8. Band theory con.nued Lecture 8 Bnd theory con.nued Recp: Solved Schrodinger qu.on for free electrons, for electrons bound in poten.l box, nd bound by proton. Discrete energy levels rouse. The Schrodinger qu.on pplied to periodic

More information

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )

More information

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245.

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245. Trgonometry Trgonometry Solutons Currulum Redy CMMG:, 4, 4 www.mthlets.om Trgonometry Solutons Bss Pge questons. Identfy f the followng trngles re rght ngled or not. Trngles,, d, e re rght ngled ndted

More information

Fundamentals of Electrical Circuits - Chapter 3

Fundamentals of Electrical Circuits - Chapter 3 Fundmentls of Electricl Circuits Chpter 3 1S. For the circuits shown elow, ) identify the resistors connected in prllel ) Simplify the circuit y replcing prllel connect resistors with equivlent resistor.

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

r = cos θ + 1. dt ) dt. (1)

r = cos θ + 1. dt ) dt. (1) MTHE 7 Proble Set 5 Solutions (A Crdioid). Let C be the closed curve in R whose polr coordintes (r, θ) stisfy () Sketch the curve C. r = cos θ +. (b) Find pretriztion t (r(t), θ(t)), t [, b], of C in polr

More information

Phys101 Lecture 4,5 Dynamics: Newton s Laws of Motion

Phys101 Lecture 4,5 Dynamics: Newton s Laws of Motion Phys101 Lecture 4,5 Dynics: ewton s Lws of Motion Key points: ewton s second lw is vector eqution ction nd rection re cting on different objects ree-ody Digrs riction Inclines Ref: 4-1,2,3,4,5,6,7,8,9.

More information

CHAPTER 5 Newton s Laws of Motion

CHAPTER 5 Newton s Laws of Motion CHAPTER 5 Newton s Lws of Motion We ve been lerning kinetics; describing otion without understnding wht the cuse of the otion ws. Now we re going to lern dynics!! Nno otor 103 PHYS - 1 Isc Newton (1642-1727)

More information

EFFECTIVE BUCKLING LENGTH OF COLUMNS IN SWAY FRAMEWORKS: COMPARISONS

EFFECTIVE BUCKLING LENGTH OF COLUMNS IN SWAY FRAMEWORKS: COMPARISONS IV EFFETIVE BUING ENGTH OF OUMN IN WAY FRAMEWOR: OMARION Ojectives In the present context, two different pproches re eployed to deterine the vlue the effective uckling length eff n c of colun n c out the

More information

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

Uniform Circular Motion

Uniform Circular Motion Unfom Ccul Moton Unfom ccul Moton An object mong t constnt sped n ccle The ntude of the eloct emns constnt The decton of the eloct chnges contnuousl!!!! Snce cceleton s te of chnge of eloct:!! Δ Δt The

More information

Numbers Related to Bernoulli-Goss Numbers

Numbers Related to Bernoulli-Goss Numbers ursh Journl of Anlyss n Nuber heory, 4, Vol., No., -8 Avlble onlne t htt://ubs.sceub.co/tnt///4 Scence n Eucton Publshng OI:.69/tnt---4 Nubers Relte to Bernoull-Goss Nubers Mohe Oul ouh Benough * érteent

More information

An Introduction to Trigonometry

An Introduction to Trigonometry n Introduction to Trigonoetry First of ll, let s check out the right ngled tringle below. The LETTERS, B & C indicte the ngles nd the letters, b & c indicte the sides. c b It is iportnt to note tht side

More information

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd

More information

FINITE NEUTROSOPHIC COMPLEX NUMBERS. W. B. Vasantha Kandasamy Florentin Smarandache

FINITE NEUTROSOPHIC COMPLEX NUMBERS. W. B. Vasantha Kandasamy Florentin Smarandache INITE NEUTROSOPHIC COMPLEX NUMBERS W. B. Vsnth Kndsmy lorentn Smrndche ZIP PUBLISHING Oho 11 Ths book cn be ordered from: Zp Publshng 1313 Chespeke Ave. Columbus, Oho 31, USA Toll ree: (61) 85-71 E-ml:

More information

Least squares. Václav Hlaváč. Czech Technical University in Prague

Least squares. Václav Hlaváč. Czech Technical University in Prague Lest squres Václv Hlváč Czech echncl Unversty n Prgue hlvc@fel.cvut.cz http://cmp.felk.cvut.cz/~hlvc Courtesy: Fred Pghn nd J.P. Lews, SIGGRAPH 2007 Course; Outlne 2 Lner regresson Geometry of lest-squres

More information

Algebra & Functions (Maths ) opposite side

Algebra & Functions (Maths ) opposite side Instructor: Dr. R.A.G. Seel Trigonometr Algebr & Functions (Mths 0 0) 0th Prctice Assignment hpotenuse hpotenuse side opposite side sin = opposite hpotenuse tn = opposite. Find sin, cos nd tn in 9 sin

More information

MA 131 Lecture Notes Calculus Sections 1.5 and 1.6 (and other material)

MA 131 Lecture Notes Calculus Sections 1.5 and 1.6 (and other material) MA Lecture Notes Clculus Sections.5 nd.6 (nd other teril) Algebr o Functions Su, Dierence, Product, nd Quotient o Functions Let nd g be two unctions with overlpping doins. Then or ll x coon to both doins,

More information

Correct answer: 0 m/s 2. Explanation: 8 N

Correct answer: 0 m/s 2. Explanation: 8 N Version 001 HW#3 - orces rts (00223) 1 his print-out should hve 15 questions. Multiple-choice questions my continue on the next column or pge find ll choices before nswering. Angled orce on Block 01 001

More information

For the percentage of full time students at RCC the symbols would be:

For the percentage of full time students at RCC the symbols would be: Mth 17/171 Chpter 7- ypothesis Testing with One Smple This chpter is s simple s the previous one, except it is more interesting In this chpter we will test clims concerning the sme prmeters tht we worked

More information

PARABOLA EXERCISE 3(B)

PARABOLA EXERCISE 3(B) PARABOLA EXERCISE (B). Find eqution of the tngent nd norml to the prbol y = 6x t the positive end of the ltus rectum. Eqution of prbol y = 6x 4 = 6 = / Positive end of the Ltus rectum is(, ) =, Eqution

More information

v v at 1 2 d vit at v v 2a d

v v at 1 2 d vit at v v 2a d SPH3UW Unt. Accelerton n One Denon Pge o 9 Note Phyc Inventory Accelerton the rte o chnge o velocty. Averge ccelerton, ve the chnge n velocty dvded by the te ntervl, v v v ve. t t v dv Intntneou ccelerton

More information

The Atwood Machine OBJECTIVE INTRODUCTION APPARATUS THEORY

The Atwood Machine OBJECTIVE INTRODUCTION APPARATUS THEORY The Atwood Mchine OBJECTIVE To derive the ening of Newton's second lw of otion s it pplies to the Atwood chine. To explin how ss iblnce cn led to the ccelertion of the syste. To deterine the ccelertion

More information

How do you know you have SLE?

How do you know you have SLE? Simultneous Liner Equtions Simultneous Liner Equtions nd Liner Algebr Simultneous liner equtions (SLE s) occur frequently in Sttics, Dynmics, Circuits nd other engineering clsses Need to be ble to, nd

More information

The Spring. Consider a spring, which we apply a force F A to either stretch it or compress it

The Spring. Consider a spring, which we apply a force F A to either stretch it or compress it The Spring Consider spring, which we pply force F A to either stretch it or copress it F A - unstretched -F A 0 F A k k is the spring constnt, units of N/, different for different terils, nuber of coils

More information

Excess Error, Approximation Error, and Estimation Error

Excess Error, Approximation Error, and Estimation Error E0 370 Statstcal Learnng Theory Lecture 10 Sep 15, 011 Excess Error, Approxaton Error, and Estaton Error Lecturer: Shvan Agarwal Scrbe: Shvan Agarwal 1 Introducton So far, we have consdered the fnte saple

More information

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp.

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp. MA123, Chpter 1: Formuls for integrls: integrls, ntiderivtives, nd the Fundmentl Theorem of Clculus (pp. 27-233, Gootmn) Chpter Gols: Assignments: Understnd the sttement of the Fundmentl Theorem of Clculus.

More information

PHYS 601 HW3 Solution

PHYS 601 HW3 Solution 3.1 Norl force using Lgrnge ultiplier Using the center of the hoop s origin, we will describe the position of the prticle with conventionl polr coordintes. The Lgrngin is therefore L = 1 2 ṙ2 + 1 2 r2

More information

THE NUMBER CONCEPT IN GREEK MATHEMATICS SPRING 2009

THE NUMBER CONCEPT IN GREEK MATHEMATICS SPRING 2009 THE NUMBER CONCEPT IN GREEK MATHEMATICS SPRING 2009 0.1. VII, Definition 1. A unit is tht by virtue of which ech of the things tht exist is clled one. 0.2. VII, Definition 2. A number is multitude composed

More information

NOT TO SCALE. We can make use of the small angle approximations: if θ á 1 (and is expressed in RADIANS), then

NOT TO SCALE. We can make use of the small angle approximations: if θ á 1 (and is expressed in RADIANS), then 3. Stellr Prllx y terrestril stndrds, the strs re extremely distnt: the nerest, Proxim Centuri, is 4.24 light yers (~ 10 13 km) wy. This mens tht their prllx is extremely smll. Prllx is the pprent shifting

More information

fractions Let s Learn to

fractions Let s Learn to 5 simple lgebric frctions corne lens pupil retin Norml vision light focused on the retin concve lens Shortsightedness (myopi) light focused in front of the retin Corrected myopi light focused on the retin

More information

Lecture 8. Newton s Laws. Applications of the Newton s Laws Problem-Solving Tactics. Physics 105; Fall Inertial Frames: T = mg

Lecture 8. Newton s Laws. Applications of the Newton s Laws Problem-Solving Tactics. Physics 105; Fall Inertial Frames: T = mg Lecture 8 Applictions of the ewton s Lws Problem-Solving ctics http://web.njit.edu/~sireno/ ewton s Lws I. If no net force ocects on body, then the body s velocity cnnot chnge. II. he net force on body

More information

Answers for Lesson 3-1, pp Exercises

Answers for Lesson 3-1, pp Exercises Answers for Lesson -, pp. Eercises * ) PQ * ) PS * ) PS * ) PS * ) SR * ) QR * ) QR * ) QR. nd with trnsversl ; lt. int. '. nd with trnsversl ; lt. int. '. nd with trnsversl ; sme-side int. '. nd with

More information

Summary: Method of Separation of Variables

Summary: Method of Separation of Variables Physics 246 Electricity nd Mgnetism I, Fll 26, Lecture 22 1 Summry: Method of Seprtion of Vribles 1. Seprtion of Vribles in Crtesin Coordintes 2. Fourier Series Suggested Reding: Griffiths: Chpter 3, Section

More information

set is not closed under matrix [ multiplication, ] and does not form a group.

set is not closed under matrix [ multiplication, ] and does not form a group. Prolem 2.3: Which of the following collections of 2 2 mtrices with rel entries form groups under [ mtrix ] multipliction? i) Those of the form for which c d 2 Answer: The set of such mtrices is not closed

More information

AQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system

AQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system Complex Numbers Section 1: Introduction to Complex Numbers Notes nd Exmples These notes contin subsections on The number system Adding nd subtrcting complex numbers Multiplying complex numbers Complex

More information

Chapters Five Notes SN AA U1C5

Chapters Five Notes SN AA U1C5 Chpters Five Notes SN AA U1C5 Nme Period Section 5-: Fctoring Qudrtic Epressions When you took lger, you lerned tht the first thing involved in fctoring is to mke sure to fctor out ny numers or vriles

More information

SECTION 9-4 Translation of Axes

SECTION 9-4 Translation of Axes 9-4 Trnsltion of Aes 639 Rdiotelescope For the receiving ntenn shown in the figure, the common focus F is locted 120 feet bove the verte of the prbol, nd focus F (for the hperbol) is 20 feet bove the verte.

More information

What else can you do?

What else can you do? Wht else cn you do? ngle sums The size of specil ngle types lernt erlier cn e used to find unknown ngles. tht form stright line dd to 180c. lculte the size of + M, if L is stright line M + L = 180c( stright

More information

Bridging the gap: GCSE AS Level

Bridging the gap: GCSE AS Level Bridging the gp: GCSE AS Level CONTENTS Chpter Removing rckets pge Chpter Liner equtions Chpter Simultneous equtions 8 Chpter Fctors 0 Chpter Chnge the suject of the formul Chpter 6 Solving qudrtic equtions

More information

REVIEW Chapter 1 The Real Number System

REVIEW Chapter 1 The Real Number System Mth 7 REVIEW Chpter The Rel Number System In clss work: Solve ll exercises. (Sections. &. Definition A set is collection of objects (elements. The Set of Nturl Numbers N N = {,,,, 5, } The Set of Whole

More information

Shape and measurement

Shape and measurement C H A P T E R 5 Shpe nd mesurement Wht is Pythgors theorem? How do we use Pythgors theorem? How do we find the perimeter of shpe? How do we find the re of shpe? How do we find the volume of shpe? How do

More information

Matching. Lecture 13 Link Analysis ( ) 13.1 Link Analysis ( ) 13.2 Google s PageRank Algorithm The Top Ten Algorithms in Data Mining

Matching. Lecture 13 Link Analysis ( ) 13.1 Link Analysis ( ) 13.2 Google s PageRank Algorithm The Top Ten Algorithms in Data Mining Lecture 13 Link Anlsis () 131 13.1 Serch Engine Indexing () 132 13.1 Link Anlsis () 13.2 Google s PgeRnk Algorith The Top Ten Algoriths in Dt Mining J. McCorick, Nine Algoriths Tht Chnged the Future, Princeton

More information

Chapter 1 Cumulative Review

Chapter 1 Cumulative Review 1 Chpter 1 Cumultive Review (Chpter 1) 1. Simplify 7 1 1. Evlute (0.7). 1. (Prerequisite Skill) (Prerequisite Skill). For Questions nd 4, find the vlue of ech expression.. 4 6 1 4. 19 [(6 4) 7 ] (Lesson

More information

HW3, Math 307. CSUF. Spring 2007.

HW3, Math 307. CSUF. Spring 2007. HW, Mth 7. CSUF. Spring 7. Nsser M. Abbsi Spring 7 Compiled on November 5, 8 t 8:8m public Contents Section.6, problem Section.6, problem Section.6, problem 5 Section.6, problem 7 6 5 Section.6, problem

More information

Chapter 1: Logarithmic functions and indices

Chapter 1: Logarithmic functions and indices Chpter : Logrithmic functions nd indices. You cn simplify epressions y using rules of indices m n m n m n m n ( m ) n mn m m m m n m m n Emple Simplify these epressions: 5 r r c 4 4 d 6 5 e ( ) f ( ) 4

More information

Waveguide Guide: A and V. Ross L. Spencer

Waveguide Guide: A and V. Ross L. Spencer Wveguide Guide: A nd V Ross L. Spencer I relly think tht wveguide fields re esier to understnd using the potentils A nd V thn they re using the electric nd mgnetic fields. Since Griffiths doesn t do it

More information

CS4495/6495 Introduction to Computer Vision. 3C-L3 Calibrating cameras

CS4495/6495 Introduction to Computer Vision. 3C-L3 Calibrating cameras CS4495/6495 Introducton to Computer Vson 3C-L3 Calbratng cameras Fnally (last tme): Camera parameters Projecton equaton the cumulatve effect of all parameters: M (3x4) f s x ' 1 0 0 0 c R 0 I T 3 3 3 x1

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

Name Class Date. Line AB is parallel to line CD. skew. ABDC } plane EFHG. In Exercises 4 7, use the diagram to name each of the following.

Name Class Date. Line AB is parallel to line CD. skew. ABDC } plane EFHG. In Exercises 4 7, use the diagram to name each of the following. Reteching Lines nd Angles Not ll lines nd plnes intersect. prllel plnes. prllel. } shows tht lines or plnes re prllel: < > < > A } ens Line A is prllel to line. skew. A } plne EFHG A plne FH } plne AEG

More information

DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS

DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS 3 DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS This chpter summrizes few properties of Cli ord Algebr nd describe its usefulness in e ecting vector rottions. 3.1 De nition of Associtive

More information

( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = "0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3

( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = 0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3 3 Emple : Three chrges re fed long strght lne s shown n the fgure boe wth 4 µc, -4 µc, nd 3 4 µc. The dstnce between nd s. m nd the dstnce between nd 3 s lso. m. Fnd the net force on ech chrge due to the

More information

Parabola Exercise 1 2,6 Q.1 (A) S(0, 1) directric x + 2y = 0 PS = PM. x y x y 2y 1 x 2y Q.2 (D) y 2 = 18 x. 2 = 3t. 2 t 3 Q.

Parabola Exercise 1 2,6 Q.1 (A) S(0, 1) directric x + 2y = 0 PS = PM. x y x y 2y 1 x 2y Q.2 (D) y 2 = 18 x. 2 = 3t. 2 t 3 Q. Prbol Exercise Q. (A) S(0, ) directric x + y = 0 PS = PM x y x y 5 5 x y y x y Q. (D) y = 8 x (t, t) t t = t t 8 4 8 t,t, 4 9 4,6 Q. (C) y 4 x 5 Eqution of directrix is x + = 0 x 0 5 Q.4 y = 8x M P t,t

More information

Discussion Question 1A P212, Week 1 P211 Review: 2-D Motion with Uniform Force

Discussion Question 1A P212, Week 1 P211 Review: 2-D Motion with Uniform Force Discussion Question 1A P1, Week 1 P11 Review: -D otion with Unifor Force The thetics nd phsics of the proble below re siilr to probles ou will encounter in P1, where the force is due to the ction of n

More information

1 Linear Least Squares

1 Linear Least Squares Lest Squres Pge 1 1 Liner Lest Squres I will try to be consistent in nottion, with n being the number of dt points, nd m < n being the number of prmeters in model function. We re interested in solving

More information

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.)

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.) MORE FUNCTION GRAPHING; OPTIMIZATION FRI, OCT 25, 203 (Lst edited October 28, 203 t :09pm.) Exercise. Let n be n rbitrry positive integer. Give n exmple of function with exctly n verticl symptotes. Give

More information

Things to Memorize: A Partial List. January 27, 2017

Things to Memorize: A Partial List. January 27, 2017 Things to Memorize: A Prtil List Jnury 27, 2017 Chpter 2 Vectors - Bsic Fcts A vector hs mgnitude (lso clled size/length/norm) nd direction. It does not hve fixed position, so the sme vector cn e moved

More information

Before we can begin Ch. 3 on Radicals, we need to be familiar with perfect squares, cubes, etc. Try and do as many as you can without a calculator!!!

Before we can begin Ch. 3 on Radicals, we need to be familiar with perfect squares, cubes, etc. Try and do as many as you can without a calculator!!! Nme: Algebr II Honors Pre-Chpter Homework Before we cn begin Ch on Rdicls, we need to be fmilir with perfect squres, cubes, etc Try nd do s mny s you cn without clcultor!!! n The nth root of n n Be ble

More information

6 Roots of Equations: Open Methods

6 Roots of Equations: Open Methods HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng

More information

USA Mathematical Talent Search Round 1 Solutions Year 21 Academic Year

USA Mathematical Talent Search Round 1 Solutions Year 21 Academic Year 1/1/21. Fill in the circles in the picture t right with the digits 1-8, one digit in ech circle with no digit repeted, so tht no two circles tht re connected by line segment contin consecutive digits.

More information