Mathematics HL and further mathematics HL formula booklet
|
|
- Rudolf Sullivan
- 7 years ago
- Views:
Transcription
1 Dplom Progrmme Mthemtcs HL d further mthemtcs HL formul boolet For use durg the course d the emtos Frst emtos 04 Publshed Jue 0 Itertol Bcclurete Orgzto
2
3 Cotets Pror lerg Core 3 Topc : Algebr 3 Topc : Fuctos d equtos 4 Topc 3: Crculr fuctos d trgoometry 4 Topc 4: Vectors 5 Topc 5: Sttstcs d probblty 6 Topc 6: Clculus 8 Optos 0 Topc 7: Sttstcs d probblty 0 Further mthemtcs HL topc 3 Topc 8: Sets, reltos d groups Further mthemtcs HL topc 4 Topc 9: Clculus Further mthemtcs HL topc 5 Topc 0: Dscrete mthemtcs Further mthemtcs HL topc 6 Formule for dstrbutos 3 Topcs 5.6, 5.7, 7., further mthemtcs HL topc 3. Dscrete dstrbutos 3 Cotuous dstrbutos 3 Further mthemtcs 4 Topc : Ler lgebr 4
4 Formule Pror lerg Are of prllelogrm A b h, where b s the bse, h s the heght Are of trgle A ( b h ), where b s the bse, h s the heght Are of trpezum A ( b ) h, where d b re the prllel sdes, h s the heght Are of crcle A r, where r s the rdus Crcumferece of crcle C r, where r s the rdus Volume of pyrmd V (re of bse vertcl heght) 3 Volume of cubod V l w h, where l s the legth, w s the wdth, h s the heght Volume of cylder V r h, where r s the rdus, h s the heght Are of the curved surfce of cylder A rh, where r s the rdus, h s the heght Volume of sphere 4 3 V r, where r s the rdus 3 Volume of coe V r h, where r s the rdus, h s the heght 3 Dstce betwee two pots (, y) d (, y ) Coordtes of the mdpot of le segmet wth edpots (, y) d (, y ) d ( ) ( y y ), y y Solutos of qudrtc equto The solutos of b c 0 re b b 4c
5 Core Topc : Algebr. The th term of rthmetc sequece u u ( ) d The sum of terms of rthmetc sequece S ( u ( ) d) ( u u) The th term of geometrc sequece The sum of terms of fte geometrc sequece The sum of fte geometrc sequece u S S u r u( r ) u( r ) r r u r, r, r. Epoets d logrthms b log b, where 0, b 0, e l log logc logb log b c log.3 Combtos! r r!( r)! Permuttos! Pr ( r)! Boml theorem ( b) b b b r r r.5 Comple umbers z b r(cos s ) re r cs.7 De Movre s theorem r(cos s ) r (cos s ) r e r cs
6 Topc : Fuctos d equtos.5 As of symmetry of the grph of qudrtc fucto f ( ) b c s of symmetry b.6 Dscrmt b 4c Topc 3: Crculr fuctos d trgoometry 3. Legth of rc l r, where s the gle mesured rds, r s the rdus Are of sector A r, where s the gle mesured rds, r s the rdus 3. Idettes s t cos sec cos cosec s Pythgore dettes cos s t sec cot csc 3.3 Compoud gle dettes s( A B) s Acos B cos As B cos( AB) cos Acos B s As B t A t B t( AB) t At B Double gle dettes s s cos cos cos s cos s t t t
7 3.7 Cose rule c b bcos C ; b c cosc b Se rule b c s A s B s C Are of trgle A bsc Topc 4: Vectors 4. Mgtude of vector v v v v 3, where v v v v 3 Dstce betwee two pots (, y, z ) d (, y, z ) d ( ) ( y y ) ( z z ) Coordtes of the mdpot of le segmet wth edpots (, y, z ), (, y, z ), y y, z z 4. Sclr product v w v w cos, where s the gle betwee v d w v w vw vw v3w3, where v v v, v 3 w w w w 3 Agle betwee two vectors v w v w v w cos vw Vector equto of le r = +λb Prmetrc form of the equto of le Crtes equtos of le l, y y m, z z y y z z l m 0 0 0
8 4.5 Vector product vw3 v3w v w v3w vw 3 where vw vw v v v, v 3 w w w w 3 v w v w s, where s the gle betwee v d w Are of trgle A vw where v d w form two sdes of trgle 4.6 Vector equto of ple r = +λb + c Equto of ple (usg the orml vector) Crtes equto of ple r by cz d Topc 5: Sttstcs d probblty 5. Populto prmeters Let f Me Vrce f f f Stdrd devto f 5. Probblty of evet A A ( ) P( A) U ( ) Complemetry evets P( A) P( A) 5.3 Combed evets P( A B) P( A) P( B) P( A B) Mutully eclusve evets P( A B) P( A) P( B)
9 5.4 Codtol probblty P( A B) P ( AB) P( B) Idepedet evets P( AB) P( A) P( B) Byes theorem P( B)P ( A B) P ( B A) P( B)P ( A B) P( B)P ( A B) P( B) P( A B) P( B A) P( B ) P( A B ) P( B ) P( A B ) P( B ) P( A B ) Epected vlue of dscrete rdom vrble X Epected vlue of cotuous rdom vrble X E( X ) P( X ) E( X ) f ( )d Vrce Vr( X ) E( X ) E( X ) E( X ) Vrce of dscrete rdom vrble X Vrce of cotuous rdom vrble X 5.6 Boml dstrbuto Me Vrce Posso dstrbuto Me Vrce 5.7 Stdrdzed orml vrble Vr( X ) ( ) P( X ) P( X ) Vr( X ) ( ) f ( )d f ( )d X ~ B(, p) P( X ) p ( p), 0,,, E( X ) p Vr( X ) p( p) m m e X ~ Po( m) P( X ), 0,,,! E( X) Vr( X) m z m
10 Topc 6: Clculus 6. Dervtve of f( ) 6. Dervtve of d y f ( h) f ( ) y f ( ) f ( ) lm d h0 h f ( ) f ( ) Dervtve of s f ( ) s f ( ) cos Dervtve of cos f ( ) cos f ( ) s Dervtve of t f ( ) t f ( ) sec Dervtve of e f ( ) e f ( ) e Dervtve of l f ( ) l f ( ) Dervtve of sec f ( ) sec f ( ) sec t Dervtve of csc f ( ) csc f ( ) csc cot Dervtve of cot f ( ) cot f ( ) csc Dervtve of ( ) f f ( ) (l ) Dervtve of log f ( ) log f ( ) l Dervtve of rcs f ( ) rcs f ( ) Dervtve of rccos f ( ) rccos f ( ) Dervtve of rct f ( ) rct f ( ) Ch rule y g( u), where dy dy du u f ( ) d du d Product rule dy dv du y uv u v d d d Quotet rule du dv v u u dy y d d v d v
11 6.4 Stdrd tegrls d C, d l C s d cos C cos d s C e de C d C l d rct C d rcs C, 6.5 Are uder curve Volume of revoluto (rotto) b A yd or A dy b b π d or π d V y V y b 6.7 Itegrto by prts dv du u d uv v d d d or d d u v uv v u
12 Optos Topc 7: Sttstcs d probblty Further mthemtcs HL topc 3 7. (3.) Probblty geertg fucto for dscrete rdom vrble X G( t) E( t ) P( X ) t E( X) G() Vr( X ) G() G() G() 7. (3.) 7.3 (3.3) Ler combtos of two depedet rdom vrbles X, X Smple sttstcs Me E( X X ) E ( X ) E ( X ) Vr( X X ) Vr ( X ) Vr ( X ) f Vrce s f ( ) f s Stdrd devto s s f ( ) Ubsed estmte of populto vrce s f ( ) f s s 7.5 (3.5) Cofdece tervls Me, wth ow vrce z 7.6 (3.6) Me, wth uow vrce Test sttstcs Me, wth ow vrce t s z /
13 Me, wth uow vrce t s / 7.7 (3.7) Smple product momet correlto coeffcet r y y y y Test sttstc for H 0 : ρ = 0 t r r Equto of regresso le of o y Equto of regresso le of y o y y ( y y) y y y y y y ( ) Topc 8: Sets, reltos d groups Further mthemtcs HL topc 4 8. (4.) De Morg s lws ( A B) A B ( A B) A B Topc 9: Clculus Further mthemtcs HL topc (5.5) Euler s method y y h f (, y ) ; h, where h s costt (step legth) Itegrtg fctor for y P( ) y Q( ) ( )d e P
14 9.6 (5.6) Mclur seres f ( ) f (0) f (0) f (0)! Tylor seres ( ) f ( ) f ( ) ( ) f ( ) f ( )...! Tylor ppromtos (wth error term R ( )) ( ) f f f f R! ( ) ( ) ( ) ( ) ( )... ( ) ( ) Lgrge form ( ) f () c R ( ) ( ) ( )!, where c les betwee d Mclur seres for specl fuctos e...! 3 l( ) s... 3! 5! 4 cos...! 4! 3 5 rct Topc 0: Dscrete mthemtcs Further mthemtcs HL topc (6.7) Euler s formul for coected plr grphs Plr, smple, coected grphs v e f, where v s the umber of vertces, e s the umber of edges, f s the umber of fces e3v 6 for v 3 ev 4 f the grph hs o trgles
15 Formule for dstrbutos Topcs 5.6, 5.7, 7., further mthemtcs HL topc 3. Dscrete dstrbutos Dstrbuto Notto Probblty mss fucto Me Vrce Geometrc X ~ Geo ( p ) pq for,,... Negtve boml X ~ NB ( r, p ) r pq r r for r, r,... p r p q p rq p Cotuous dstrbutos Dstrbuto Notto Probblty desty fucto Me Vrce Norml X ~ N (, ) e π
16 Further mthemtcs Topc : Ler lgebr. Determt of mtr Iverse of mtr Determt of 3 3 mtr b A det A A d bc c d b d b A A, d bc c d det A c b c e f d f d e A d e f det A b c h g g h g h
Sequences and Series
Secto 9. Sequeces d Seres You c thk of sequece s fucto whose dom s the set of postve tegers. f ( ), f (), f (),... f ( ),... Defto of Sequece A fte sequece s fucto whose dom s the set of postve tegers.
More information16. Mean Square Estimation
6 Me Sque stmto Gve some fomto tht s elted to uow qutty of teest the poblem s to obt good estmte fo the uow tems of the obseved dt Suppose epeset sequece of dom vbles bout whom oe set of obsevtos e vlble
More informationMATHEMATICS SYLLABUS SECONDARY 7th YEAR
Europe Schools Office of the Secretry-Geerl Pedgogicl developmet Uit Ref.: 2011-01-D-41-e-2 Orig.: DE MATHEMATICS SYLLABUS SECONDARY 7th YEAR Stdrd level 5 period/week course Approved y the Joit Techig
More informationSOME IMPORTANT MATHEMATICAL FORMULAE
SOME IMPORTANT MATHEMATICAL FORMULAE Circle : Are = π r ; Circuferece = π r Squre : Are = ; Perieter = 4 Rectgle: Are = y ; Perieter = (+y) Trigle : Are = (bse)(height) ; Perieter = +b+c Are of equilterl
More informationCurve Fitting and Solution of Equation
UNIT V Curve Fttg ad Soluto of Equato 5. CURVE FITTING I ma braches of appled mathematcs ad egeerg sceces we come across epermets ad problems, whch volve two varables. For eample, t s kow that the speed
More informationPreprocess a planar map S. Given a query point p, report the face of S containing p. Goal: O(n)-size data structure that enables O(log n) query time.
Computatoal Geometry Chapter 6 Pot Locato 1 Problem Defto Preprocess a plaar map S. Gve a query pot p, report the face of S cotag p. S Goal: O()-sze data structure that eables O(log ) query tme. C p E
More informationAn IMM Algorithm for Tracking Maneuvering Vehicles in an Adaptive Cruise Control Environment
31 Itertol Jourl of Cotrol, Yog-Shk Automto, Km d Keum-Shk d Systems, Hog vol. 2, o. 3, pp. 31-318, September 24 A IMM Algorthm for Trckg Meuverg Vehcles Adptve Cruse Cotrol Evromet Yog-Shk Km d Keum-Shk
More informationStock Index Modeling using EDA based Local Linear Wavelet Neural Network
Stoc Idex odelg usg EDA bsed Locl Ler Wvelet Neurl Networ Yuehu Che School of Iformto Scece d Egeerg J Uversty Jwe rod 06, J 250022, P.R.Ch E-ml: yhche@uj.edu.c Xohu Dog School of Iformto Scece d Egeerg
More informationModels of migration. Frans Willekens. Colorado Conference on the Estimation of Migration 24 26 September 2004
Models of mgrato Fras Wllekes Colorado Coferece o the Estmato of Mgrato 4 6 Setember 004 Itroducto Mgrato : chage of resdece (relocato Mgrato s stuated tme ad sace Cocetual ssues Sace: admstratve boudares
More informationBasic statistics formulas
Wth complmet of tattcmetor.com, the te for ole tattc help Set De Morga Law Bac tattc formula Meaure of Locato Sample mea (AUB) c A c B c Commutatvty & (A B) c A c U B c A U B B U A ad A B B A Aocatvty
More informationPROBLEMS 05 - ELLIPSE Page 1
PROBLEMS 0 ELLIPSE Pge 1 ( 1 ) The edpoits A d B of AB re o the X d Yis respectivel If AB > 0 > 0 d P divides AB from A i the rtio : the show tht P lies o the ellipse 1 ( ) If the feet of the perpediculrs
More informationPure C4. Revision Notes
Pure C4 Revision Notes Mrch 0 Contents Core 4 Alger Prtil frctions Coordinte Geometry 5 Prmetric equtions 5 Conversion from prmetric to Crtesin form 6 Are under curve given prmetriclly 7 Sequences nd
More informationSimple Linear Regression
Smple Lear Regresso Regresso equato a equato that descrbes the average relatoshp betwee a respose (depedet) ad a eplaator (depedet) varable. 6 8 Slope-tercept equato for a le m b (,6) slope. (,) 6 6 8
More informationCH. V ME256 STATICS Center of Gravity, Centroid, and Moment of Inertia CENTER OF GRAVITY AND CENTROID
CH. ME56 STTICS Ceter of Gravt, Cetrod, ad Momet of Ierta CENTE OF GITY ND CENTOID 5. CENTE OF GITY ND CENTE OF MSS FO SYSTEM OF PTICES Ceter of Gravt. The ceter of gravt G s a pot whch locates the resultat
More informationwww.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values)
www.mthsbo.org.uk CORE SUMMARY NOTES Functions A function is rule which genertes ectl ONE OUTPUT for EVERY INPUT. To be defined full the function hs RULE tells ou how to clculte the output from the input
More informationHow To Value An Annuity
Future Value of a Auty After payg all your blls, you have $200 left each payday (at the ed of each moth) that you wll put to savgs order to save up a dow paymet for a house. If you vest ths moey at 5%
More informationMATHEMATICS FOR ENGINEERING BASIC ALGEBRA
MATHEMATICS FOR ENGINEERING BASIC ALGEBRA TUTORIAL - INDICES, LOGARITHMS AND FUNCTION This is the oe of series of bsic tutorils i mthemtics imed t begiers or yoe wtig to refresh themselves o fudmetls.
More information5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one.
5.2. LINE INTEGRALS 265 5.2 Line Integrls 5.2.1 Introduction Let us quickly review the kind of integrls we hve studied so fr before we introduce new one. 1. Definite integrl. Given continuous rel-vlued
More information1. The Time Value of Money
Corporate Face [00-0345]. The Tme Value of Moey. Compoudg ad Dscoutg Captalzato (compoudg, fdg future values) s a process of movg a value forward tme. It yelds the future value gve the relevat compoudg
More informationn. We know that the sum of squares of p independent standard normal variables has a chi square distribution with p degrees of freedom.
UMEÅ UNIVERSITET Matematsk-statstska sttutoe Multvarat dataaalys för tekologer MSTB0 PA TENTAMEN 004-0-9 LÖSNINGSFÖRSLAG TILL TENTAMEN I MATEMATISK STATISTIK Multvarat dataaalys för tekologer B, 5 poäg.
More informationHarvard College. Math 21a: Multivariable Calculus Formula and Theorem Review
Hrvrd College Mth 21: Multivrible Clculus Formul nd Theorem Review Tommy McWillim, 13 tmcwillim@college.hrvrd.edu December 15, 2009 1 Contents Tble of Contents 4 9 Vectors nd the Geometry of Spce 5 9.1
More informationPROBLEMS 13 - APPLICATIONS OF DERIVATIVES Page 1
PROBLEMS - APPLICATIONS OF DERIVATIVES Pge ( ) Wter seeps out of conicl filter t the constnt rte of 5 cc / sec. When the height of wter level in the cone is 5 cm, find the rte t which the height decreses.
More informationVectors 2. 1. Recap of vectors
Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms
More informationPublic Auditing Based on Homomorphic Hash Function in
Publc Audtg Bsed o Homomorhc Hsh Fucto Secure Cloud Storge Shufe NIU, Cfe Wg, Xo DU Publc Audtg Bsed o Homomorhc Hsh Fucto Secure Cloud Storge Shufe NIU, Cfe Wg, 3 Xo DU, College of Comuter Scece d Egeerg,
More informationSTATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ " 1
STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS Recall Assumpto E(Y x) η 0 + η x (lear codtoal mea fucto) Data (x, y ), (x 2, y 2 ),, (x, y ) Least squares estmator ˆ E (Y x) ˆ " 0 + ˆ " x, where ˆ
More informationAbraham Zaks. Technion I.I.T. Haifa ISRAEL. and. University of Haifa, Haifa ISRAEL. Abstract
Preset Value of Autes Uder Radom Rates of Iterest By Abraham Zas Techo I.I.T. Hafa ISRAEL ad Uversty of Hafa, Hafa ISRAEL Abstract Some attempts were made to evaluate the future value (FV) of the expected
More informationCIS603 - Artificial Intelligence. Logistic regression. (some material adopted from notes by M. Hauskrecht) CIS603 - AI. Supervised learning
CIS63 - Artfcal Itellgece Logstc regresso Vasleos Megalookoomou some materal adopted from otes b M. Hauskrecht Supervsed learg Data: D { d d.. d} a set of eamples d < > s put vector ad s desred output
More informationNATIONAL SENIOR CERTIFICATE GRADE 12
NATIONAL SENIOR CERTIFICATE GRADE MATHEMATICS P EXEMPLAR 04 MARKS: 50 TIME: 3 hours This questio paper cosists of 8 pages ad iformatio sheet. Please tur over Mathematics/P DBE/04 NSC Grade Eemplar INSTRUCTIONS
More informationx(x + 5) x 2 25 (x + 5)(x 5) = x 6(x 4) x ( x 4) + 3
CORE 4 Summary Notes Rational Expressions Factorise all expressions where possible Cancel any factors common to the numerator and denominator x + 5x x(x + 5) x 5 (x + 5)(x 5) x x 5 To add or subtract -
More informationAREA OF A SURFACE OF REVOLUTION
AREA OF A SURFACE OF REVOLUTION h cut r πr h A surfce of revolution is formed when curve is rotted bout line. Such surfce is the lterl boundr of solid of revolution of the tpe discussed in Sections 7.
More informationSoftware Size Estimation in Incremental Software Development Based On Improved Pairwise Comparison Matrices
Computer Scece Systems Bology Reserch Artcle Artcle Ocheg d Mwg, 204, 7:3 http://d.do.org/0.472/csb.0004 Ope Ope Access Softwre Sze Estmto Icremetl Softwre Developmet Bsed O Improved Prwse Comprso Mtrces
More informationExam 1 Study Guide. Differentiation and Anti-differentiation Rules from Calculus I
Exm Stuy Guie Mth 2020 - Clculus II, Winter 204 The following is list of importnt concepts from ech section tht will be teste on exm. This is not complete list of the mteril tht you shoul know for the
More informationThe Analysis of Development of Insurance Contract Premiums of General Liability Insurance in the Business Insurance Risk
The Aalyss of Developmet of Isurace Cotract Premums of Geeral Lablty Isurace the Busess Isurace Rsk the Frame of the Czech Isurace Market 1998 011 Scetfc Coferece Jue, 10. - 14. 013 Pavla Kubová Departmet
More informationStatistical Pattern Recognition (CE-725) Department of Computer Engineering Sharif University of Technology
I The Name of God, The Compassoate, The ercful Name: Problems' eys Studet ID#:. Statstcal Patter Recogto (CE-725) Departmet of Computer Egeerg Sharf Uversty of Techology Fal Exam Soluto - Sprg 202 (50
More informationChapter 04.05 System of Equations
hpter 04.05 System of Equtios After redig th chpter, you should be ble to:. setup simulteous lier equtios i mtrix form d vice-vers,. uderstd the cocept of the iverse of mtrix, 3. kow the differece betwee
More informationMathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100
hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by
More informationWarm-up for Differential Calculus
Summer Assignment Wrm-up for Differentil Clculus Who should complete this pcket? Students who hve completed Functions or Honors Functions nd will be tking Differentil Clculus in the fll of 015. Due Dte:
More informationChapter 3 0.06 = 3000 ( 1.015 ( 1 ) Present Value of an Annuity. Section 4 Present Value of an Annuity; Amortization
Chapter 3 Mathematcs of Face Secto 4 Preset Value of a Auty; Amortzato Preset Value of a Auty I ths secto, we wll address the problem of determg the amout that should be deposted to a accout ow at a gve
More informationThe simple linear Regression Model
The smple lear Regresso Model Correlato coeffcet s o-parametrc ad just dcates that two varables are assocated wth oe aother, but t does ot gve a deas of the kd of relatoshp. Regresso models help vestgatg
More information1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator
AP Clculus Finl Review Sheet When you see the words. This is wht you think of doing. Find the zeros Find roots. Set function =, fctor or use qudrtic eqution if qudrtic, grph to find zeros on clcultor.
More informationApplication: Volume. 6.1 Overture. Cylinders
Applictio: Volume 61 Overture I this chpter we preset other pplictio of the defiite itegrl, this time to fid volumes of certi solids As importt s this prticulr pplictio is, more importt is to recogize
More informationSummation Notation The sum of the first n terms of a sequence is represented by the summation notation i the index of summation
Lesso 0.: Sequeces d Summtio Nottio Def. of Sequece A ifiite sequece is fuctio whose domi is the set of positive rel itegers (turl umers). The fuctio vlues or terms of the sequece re represeted y, 2, 3,...,....
More information6.7 Network analysis. 6.7.1 Introduction. References - Network analysis. Topological analysis
6.7 Network aalyss Le data that explctly store topologcal formato are called etwork data. Besdes spatal operatos, several methods of spatal aalyss are applcable to etwork data. Fgure: Network data Refereces
More informationOptimal multi-degree reduction of Bézier curves with constraints of endpoints continuity
Computer Aded Geometrc Desg 19 (2002 365 377 wwwelsevercom/locate/comad Optmal mult-degree reducto of Bézer curves wth costrats of edpots cotuty Guo-Dog Che, Guo-J Wag State Key Laboratory of CAD&CG, Isttute
More informationCHAPTER 2. Time Value of Money 6-1
CHAPTER 2 Tme Value of Moey 6- Tme Value of Moey (TVM) Tme Les Future value & Preset value Rates of retur Autes & Perpetutes Ueve cash Flow Streams Amortzato 6-2 Tme les 0 2 3 % CF 0 CF CF 2 CF 3 Show
More informationVectors. The magnitude of a vector is its length, which can be determined by Pythagoras Theorem. The magnitude of a is written as a.
Vectors mesurement which onl descries the mgnitude (i.e. size) of the oject is clled sclr quntit, e.g. Glsgow is 11 miles from irdrie. vector is quntit with mgnitude nd direction, e.g. Glsgow is 11 miles
More informationIMPLEMENTATION IN PUBLIC ADMINISTRATION OF MEXICO GOVERNMENT USING GAMES THEORY AND SOLVING WITH LINEAR PROGRAMMING
Itertol Jourl of Advces Egeerg & Techolog, J., 05. IJAET ISSN: 96 IMPLEMENTATION IN PUBLIC ADMINISTRATION OF MEICO GOVERNMENT USING GAMES THEORY AND SOLVING WITH LINEAR PROGRAMMING Frcsco Zrgoz Huert.
More informationA MODEL WITH STORAGE LIMITATION AND SIMULATED DEMAND AS FRESH MEAT INVENTORY MANAGEMENT SUPPORT
ISSN 330-74 U 637.5.033.00 A MOEL WITH STORAGE LIMITATION AN SIMULATE EMAN AS FRESH MEAT INVENTORY MANAGEMENT SUPPORT Gord ukć ),. ukć ), M. Ser ) Orgl cetfc pper SUMMARY A mportt pect of retl outlet wc
More informationIntegration by Substitution
Integrtion by Substitution Dr. Philippe B. Lvl Kennesw Stte University August, 8 Abstrct This hndout contins mteril on very importnt integrtion method clled integrtion by substitution. Substitution is
More informationUniversal coding for classes of sources
Coexios module: m46228 Uiversal codig for classes of sources Dever Greee This work is produced by The Coexios Project ad licesed uder the Creative Commos Attributio Licese We have discussed several parametric
More informationClassic Problems at a Glance using the TVM Solver
C H A P T E R 2 Classc Problems at a Glace usg the TVM Solver The table below llustrates the most commo types of classc face problems. The formulas are gve for each calculato. A bref troducto to usg the
More informationPhysics 43 Homework Set 9 Chapter 40 Key
Physics 43 Homework Set 9 Chpter 4 Key. The wve function for n electron tht is confined to x nm is. Find the normliztion constnt. b. Wht is the probbility of finding the electron in. nm-wide region t x
More informationGeorgia Department of Education Kathy Cox, State Superintendent of Schools 7/19/2005 All Rights Reserved 1
Accelerated Mathematics 3 This is a course in precalculus and statistics, designed to prepare students to take AB or BC Advanced Placement Calculus. It includes rational, circular trigonometric, and inverse
More informationTrigonometric Functions: The Unit Circle
Trigonometric Functions: The Unit Circle This chapter deals with the subject of trigonometry, which likely had its origins in the study of distances and angles by the ancient Greeks. The word trigonometry
More informationANOVA Notes Page 1. Analysis of Variance for a One-Way Classification of Data
ANOVA Notes Page Aalss of Varace for a Oe-Wa Classfcato of Data Cosder a sgle factor or treatmet doe at levels (e, there are,, 3, dfferet varatos o the prescrbed treatmet) Wth a gve treatmet level there
More informationMDM 4U PRACTICE EXAMINATION
MDM 4U RCTICE EXMINTION Ths s a ractce eam. It does ot cover all the materal ths course ad should ot be the oly revew that you do rearato for your fal eam. Your eam may cota questos that do ot aear o ths
More informationSolutions to Homework 10
Solutions to Homework 1 Section 7., exercise # 1 (b,d): (b) Compute the value of R f dv, where f(x, y) = y/x and R = [1, 3] [, 4]. Solution: Since f is continuous over R, f is integrable over R. Let x
More informationVictims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years
Claim#:021914-174 Initials: J.T. Last4SSN: 6996 DOB: 5/3/1970 Crime Date: 4/30/2013 Status: Claim is currently under review. Decision expected within 7 days Claim#:041715-334 Initials: M.S. Last4SSN: 2957
More informationScalar and Vector Quantities. A scalar is a quantity having only magnitude (and possibly phase). LECTURE 2a: VECTOR ANALYSIS Vector Algebra
Sclr nd Vector Quntities : VECTO NLYSIS Vector lgebr sclr is quntit hving onl mgnitude (nd possibl phse). Emples: voltge, current, chrge, energ, temperture vector is quntit hving direction in ddition to
More informationPHY 140A: Solid State Physics. Solution to Homework #2
PHY 140A: Solid Stte Physics Solution to Homework # TA: Xun Ji 1 October 14, 006 1 Emil: jixun@physics.ucl.edu Problem #1 Prove tht the reciprocl lttice for the reciprocl lttice is the originl lttice.
More informationMathematics Placement Examination (MPE)
Practice Problems for Mathematics Placement Eamination (MPE) Revised August, 04 When you come to New Meico State University, you may be asked to take the Mathematics Placement Eamination (MPE) Your inital
More informationRelaxation Methods for Iterative Solution to Linear Systems of Equations
Relaxato Methods for Iteratve Soluto to Lear Systems of Equatos Gerald Recktewald Portlad State Uversty Mechacal Egeerg Departmet gerry@me.pdx.edu Prmary Topcs Basc Cocepts Statoary Methods a.k.a. Relaxato
More informationLoad and Resistance Factor Design (LRFD)
53:134 Structural Desg II Load ad Resstace Factor Desg (LRFD) Specfcatos ad Buldg Codes: Structural steel desg of buldgs the US s prcpally based o the specfcatos of the Amerca Isttute of Steel Costructo
More informationAn Approach to Evaluating the Computer Network Security with Hesitant Fuzzy Information
A Approach to Evaluatg the Computer Network Securty wth Hestat Fuzzy Iformato Jafeg Dog A Approach to Evaluatg the Computer Network Securty wth Hestat Fuzzy Iformato Jafeg Dog, Frst ad Correspodg Author
More informationMeasures of Central Tendency: Basic Statistics Refresher. Topic 1 Point Estimates
Basc Statstcs Refresher Basc Statstcs: A Revew by Alla T. Mese, Ph.D., PE, CRE Ths s ot a tetbook o statstcs. Ths s a refresher that presumes the reader has had some statstcs backgroud. There are some
More information6.1 Basic Right Triangle Trigonometry
6.1 Basic Right Triangle Trigonometry MEASURING ANGLES IN RADIANS First, let s introduce the units you will be using to measure angles, radians. A radian is a unit of measurement defined as the angle at
More informationChapter Eight. f : R R
Chapter Eght f : R R 8. Itroducto We shall ow tur our atteto to the very mportat specal case of fuctos that are real, or scalar, valued. These are sometmes called scalar felds. I the very, but mportat,
More informationThe Time Value of Money
The Tme Value of Moey 1 Iversemet Optos Year: 1624 Property Traded: Mahatta Islad Prce : $24.00, FV of $24 @ 6%: FV = $24 (1+0.06) 388 = $158.08 bllo Opto 1 0 1 2 3 4 5 t ($519.37) 0 0 0 0 $1,000 Opto
More informationConstrained Cubic Spline Interpolation for Chemical Engineering Applications
Costraed Cubc Sple Iterpolato or Chemcal Egeerg Applcatos b CJC Kruger Summar Cubc sple terpolato s a useul techque to terpolate betwee kow data pots due to ts stable ad smooth characterstcs. Uortuatel
More informationOn formula to compute primes and the n th prime
Joural's Ttle, Vol., 00, o., - O formula to compute prmes ad the th prme Issam Kaddoura Lebaese Iteratoal Uversty Faculty of Arts ad ceces, Lebao Emal: ssam.addoura@lu.edu.lb amh Abdul-Nab Lebaese Iteratoal
More informationCapacitated Production Planning and Inventory Control when Demand is Unpredictable for Most Items: The No B/C Strategy
SCHOOL OF OPERATIONS RESEARCH AND INDUSTRIAL ENGINEERING COLLEGE OF ENGINEERING CORNELL UNIVERSITY ITHACA, NY 4853-380 TECHNICAL REPORT Jue 200 Capactated Producto Plag ad Ivetory Cotrol whe Demad s Upredctable
More informationBoolean Algebra. ECE 152A Winter 2012
Boolen Algebr ECE 52A Wnter 22 Redng Assgnent Brown nd Vrnesc 2 Introducton to Logc Crcuts 2.5 Boolen Algebr 2.5. The Venn Dgr 2.5.2 Notton nd Ternology 2.5.3 Precedence of Opertons 2.6 Synthess Usng AND,
More informationAP STATISTICS SUMMER MATH PACKET
AP STATISTICS SUMMER MATH PACKET This pcket is review of Algebr I, Algebr II, nd bsic probbility/counting. The problems re designed to help you review topics tht re importnt to your success in the clss.
More informationHow To Factor By Grouping
Lecture Notes Factoring by the AC-method page 1 Sample Problems 1. Completely factor each of the following. a) 4a 2 mn 15abm 2 6abmn + 10a 2 m 2 c) 162a + 162b 2ax 4 2bx 4 e) 3a 2 5a 2 b) a 2 x 3 b 2 x
More informationMath 114- Intermediate Algebra Integral Exponents & Fractional Exponents (10 )
Math 4 Math 4- Itermediate Algebra Itegral Epoets & Fractioal Epoets (0 ) Epoetial Fuctios Epoetial Fuctios ad Graphs I. Epoetial Fuctios The fuctio f ( ) a, where is a real umber, a 0, ad a, is called
More informationTrigonometric Identities & Formulas Tutorial Services Mission del Paso Campus
Tigonometic Identities & Fomulas Tutoial Sevices Mission del Paso Campus Recipocal Identities csc csc Ratio o Quotient Identities cos cot cos cos sec sec cos = cos cos = cot cot cot Pthagoean Identities
More informationProbability Analysis for the Damage of Gravity Dam
Egeerg,, 3, 3-3 do:.436/eg..3436 Publshed Ole Aprl (http://www.scrp.org/oural/eg) Probablty Aalyss for the Damage of Gravty Dam Qag Xu, Jg L, Jayu Che, School of Cvl ad Hydraulc Eg., Dala Uversty of echology,
More informationOverview of some probability distributions.
Lecture Overview of some probability distributios. I this lecture we will review several commo distributios that will be used ofte throughtout the class. Each distributio is usually described by its probability
More informationHow Euler Did It. One of the most famous formulas in mathematics, indeed in all of science is commonly written in two different ways: i
How Euler Dd It by Ed Sadfer e, π ad : Why s Euler the Euler detty? August 007 Oe of the most famous formulas mathematcs, deed all of scece s commoly wrtte two dfferet ways: e π or e π + 0 Moreover, t
More informationDistributions. (corresponding to the cumulative distribution function for the discrete case).
Distributions Recll tht n integrble function f : R [,] such tht R f()d = is clled probbility density function (pdf). The distribution function for the pdf is given by F() = (corresponding to the cumultive
More informationPCR Quantitative en temps réel
Quatitative PCR PCR Quatitative e temps réel Aspects méthodologiques al itesity) Log (Siga Sample 1 Sample 2 Sample 3 Sample 4 0 5 10 15 20 25 30 35 40 45 50 Cycle umber Quatitative PCR Quatitative PCR
More informationFUZZY PERT FOR PROJECT MANAGEMENT
Itertol Jourl of dvces Egeerg & Techology Sept. 04. IJET ISSN: 96 FUZZY PERT FOR PROJECT MNGEMENT Ther hed Sdoo l S Rd M. Ro l Brhe ssst. Prof ssstt Lecturer College of dstrto d Ecoocs Mgeet Iforto Systes
More informationSticky News. sticky rice cooking school newsletter
S R C S V A T 3 HS SA 2009 S Nw w #05 m 2010 j v T L & S O I M T Ow C F... S C Nw C C A Smb 2010 M C S R C S BEST FOOD EXPERIENCE 2009 N F C w S R C S w w b Aw T 6 B F Ex A. A N F A Tv Tm Aw, w b M Ex
More informationPreparation of Calibration Curves
Preparato of Calbrato Curves A Gude to Best Practce September 3 Cotact Pot: Lz Prchard Tel: 8943 7553 Prepared by: Vck Barwck Approved by: Date: The work descrbed ths report was supported uder cotract
More informationComplex Numbers. where x represents a root of Equation 1. Note that the ± sign tells us that quadratic equations will have
Comple Numbers I spite of Calvi s discomfiture, imagiar umbers (a subset of the set of comple umbers) eist ad are ivaluable i mathematics, egieerig, ad sciece. I fact, i certai fields, such as electrical
More information2009-2015 Michael J. Rosenfeld, draft version 1.7 (under construction). draft November 5, 2015
009-015 Mchael J. Rosefeld, draft verso 1.7 (uder costructo). draft November 5, 015 Notes o the Mea, the Stadard Devato, ad the Stadard Error. Practcal Appled Statstcs for Socologsts. A troductory word
More informationVersion 1.0 0110. hij. General Certificate of Education. Mathematics 6360. MPC3 Pure Core 3. Mark Scheme. 2010 examination - January series
Version.0 00 hij General Certificate of Education Mathematics 6360 MPC3 Pure Ce 3 Mark Scheme 00 eamination - January series Mark schemes are prepared by the Principal Eaminer and considered, together
More information10.5 Future Value and Present Value of a General Annuity Due
Chapter 10 Autes 371 5. Thomas leases a car worth $4,000 at.99% compouded mothly. He agrees to make 36 lease paymets of $330 each at the begg of every moth. What s the buyout prce (resdual value of the
More informationEQUATIONS OF LINES AND PLANES
EQUATIONS OF LINES AND PLANES MATH 195, SECTION 59 (VIPUL NAIK) Corresponding mteril in the ook: Section 12.5. Wht students should definitely get: Prmetric eqution of line given in point-direction nd twopoint
More informationMath Placement Test Practice Problems
Math Placement Test Practice Problems The following problems cover material that is used on the math placement test to place students into Math 1111 College Algebra, Math 1113 Precalculus, and Math 2211
More informationRIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS
RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS Known for over 500 yers is the fct tht the sum of the squres of the legs of right tringle equls the squre of the hypotenuse. Tht is +b c. A simple proof is
More informationFINANCIAL MATHEMATICS 12 MARCH 2014
FINNCIL MTHEMTICS 12 MRCH 2014 I ths lesso we: Lesso Descrpto Make use of logarthms to calculate the value of, the tme perod, the equato P1 or P1. Solve problems volvg preset value ad future value autes.
More information1 TRIGONOMETRY. 1.0 Introduction. 1.1 Sum and product formulae. Objectives
TRIGONOMETRY Chapter Trigonometry Objectives After studying this chapter you should be able to handle with confidence a wide range of trigonometric identities; be able to express linear combinations of
More informationAPPENDIX III THE ENVELOPE PROPERTY
Apped III APPENDIX III THE ENVELOPE PROPERTY Optmzato mposes a very strog structure o the problem cosdered Ths s the reaso why eoclasscal ecoomcs whch assumes optmzg behavour has bee the most successful
More informationDIFFERENTIAL EQUATIONS
DIFFERENTIAL EQUATIONS 379 Chapter 9 DIFFERENTIAL EQUATIONS He who seeks f methods without having a definite problem in mind seeks f the most part in vain. D. HILBERT 9. Introduction In Class XI and in
More informationFinite Difference Method
Fte Dfferece Method MEL 87 Computatoa Heat rasfer --4) Dr. Praba audar Assstat Professor Departmet of Mechaca Egeerg II Deh Dscretzato Methods Requred to covert the geera trasport equato to set of agebrac
More informationBanking (Early Repayment of Housing Loans) Order, 5762 2002 1
akg (Early Repaymet of Housg Loas) Order, 5762 2002 y vrtue of the power vested me uder Secto 3 of the akg Ordace 94 (hereafter, the Ordace ), followg cosultato wth the Commttee, ad wth the approval of
More informationLINEAR ALGEBRA W W L CHEN
LINEAR ALGEBRA W W L CHEN c W W L Chen, 1982, 2008. This chapter originates from material used by author at Imperial College, University of London, between 1981 and 1990. It is available free to all individuals,
More informationUse Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.
Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd
More informationChapter 7. V and 10. V (the modified premium reserve using the Full Preliminary Term. V (the modified premium reserves using the Full Preliminary
Chapter 7 1. You are give that Mortality follows the Illustrative Life Table with i 6%. Assume that mortality is uiformly distributed betwee itegral ages. Calculate: a. Calculate 10 V for a whole life
More information