References. Microcomputer, Macmillan. Angell, I. O. and Jones, B. J. (1983b). Advanced Graphics with the Sinclair ZX
|
|
- Lily Lynch
- 5 years ago
- Views:
Transcription
1 References Adams, A. G. (1969).'Areas under the normal curve', Algorithm 39, Computer J., 12. American National Standards Institute (1978). American National Standard for Minimal BASIC, ANSI X3.60. Angell, I. O. (1985). Advanced Graphics with the IBM Personal Computer, Macmillan. Angell, I. O. and Jones, B. J. (1983a). Advanced Graphics with the BBC Model B Microcomputer, Macmillan. Angell, I. O. and Jones, B. J. (1983b). Advanced Graphics with the Sinclair ZX Spectrum, Macmillan. Bajpai, A. C. et 01. (1974). Engineering Mathematics, Wiley. Chatfield, C. (1970). Statistics for Technology, Penguin. Conte, S. D. (1965) Elementary Numerical Analysis, McGraw-Hill. Conte, S. D. and De Boor, C. (1972). Elementary Numerical Analysis - An Algorithmic Approach, 2nd edition, McGraw-Hill. Davis, O. L. and Goldsmith, P. L. (1972). Statistical Methods in Research and Production, 4th edition, Oliver and Boyd. Fox, L. and Mayers, D. F. (1968). Computing Methods for Scientists and Engineers, Oxford University Press. Froberg, C. E. (1970). Introduction to Numerical Analysis, 2nd edition, Addison Wesley. Gosling, P. (1982). Practical BASIC programming, Macmillan. Griffiths, P. and Hill, I. D. (editors) (1985a). 'Algorithm AS66 The normal integral' by I. D. Hill, in Applied Statistics Algorithms, Ellis Horwood, p Griffiths, P. and Hill, I. D. (editors) (1985b). 'Algorithm AS 147 A simple series for the incomplete gamma integral', by Chi-Leung Lau, in Applied Statistics Algorithms, Ellis Horwood, p Griffiths, P. and Hill, I. D. (editors) (1985c). 'Algorithm AS63 The incomplete beta integral', by K. L. Majumler and G. P. Bhattacharjee, in Applied Statistics AlgOrithms, Ellis Horwood, p Hamming, R. W. (1962). Numerical Methods for Scientists and Engineers, McGraw Hill. Iyanaya, S. and Kawadu, Y. (editors) (1980). Encyclopedic Dictionary of Mathematics, Mathematical Society of Japan, MIT Press. Kreyszig, E. (1983). Advanced Engineering Mathematics, 5th edition, Wiley. Lee, J. D. and Lee, T. D. (1982). Statistics and Computer Methods in BASIC, Van Nostrand Reinhold. Mason, J. C. (1983). BASIC Numerical Methods, Butterworths. Mason, J. C. (1984). BASIC Matrix Methods, Butterworths. Miller, A. R. (1981). BASIC Programs for Scientists and Engineers, Sybex. 174
2 References 175 Morgan, B. J. T. (1984). Elements of Simulation, Chapman and Hall. Nevison, 1. M. (1978). The Little Book of BASIC Style, Addison-Wesley. Pearson, K. (editor) (1956). Tables of the Incomplete Gamma Function, Cambridge University Press. Pearson, K. (editor) (1968). Tables of the Incomplete Beta Function, 2nd edition, Cambridge University Press. Ralston, A. and Wilf, H. S. (1962). Mathematical Methods for Digital Computers, Wiley. Scheffe, H. (1959). The Analysis of Variance, Wiley. Stephenson, G. (1969). Mathematical Methods for Science Students, 6th edition, Longmans Green. Stroud, K. A. (1982). Engineering Mathematics, 2nd edition, Macmillan. Wonnacott, T. H. and Wonnacott, R. J. (1981). Regression: A Second Course in Statistics, Wiley.
3 Index Accuracy see Error ACS 161 ALGOL language 2 Amstrad 4 Analysis of variance 72-87, 89 ANOV A see Analysis of variance Array variables 5 ATN 4,161 Average see Mean BASIC language 1-2 BBC micro 4 Bernoulli distribution see Binomial distribution Bernoulli numbers 31 Beta function 37-41, 47 Binomial distribution 9-11,20-1 Bisectional method Bugs 7 C computer language 2 Calculus Chebyshev polynomial Chi-squared 64-8 distribution 42-4 Combinations Complex numbers Complex roots 154,158 Contingency table 64-8 Control variables 5-6 Correlation 88 Cubic equati0ns Cumulative distribution functions see Probability Cumulative frequencies 53-7 Curve fitting see Regression and Interpolation Data, integration of discrete DAT A statement 4 DEF FN 6 Density functions see Probability Determinant Differential equations DIM 5 Discriminant 154 Distribution functions see Probability Eigenvalues Eigenvectors ELSE 6 END 5 Enhancements Equations cubic quadratic simultaneous linear solutionof Error, standard see Standard error Errors, rounding, syntax, precision 6-7, see also Bugs Exponential distribution 18-19,29-30 Exponential random numbers 12, F distribution 45-7 F ratio, F test 46, 72, 74, 77-8,83, 85,89 Factorials FN 6 FOR-NEXT 5 FORTRAN language 2 Fourier coefficients, series Frequency data see Cumulative frequencies Functions 4-6 Gamma function 31-6,42,45,47,69 Gauss elimination 119 Gaussian distribution see Normal distribution Global variables 5 GOSUB 3 176
4 GOTO 2 Graphics 4-5 Harmonic coefficients Harmonic index Hewlett-Packard 4 IBM 4 Identity matrix 89 IF-THEN, IF-THEN-ELSE, IF-THEN- GOTO 6 Ill-conditioning 99, 124 Imaginary 154, 158 Integer variables 5 Integration, numerical 7, Interpolation Inverse matrix Jacobi diagonalisation 114 Lagrange interpolation Least squares estimation see Regression LET 6 Line numbers 3, 8 LN 4,6-7 Local variables 5 LOG 4 LPRINT 4 Matched samples see Paired comparisons Matrix addition, multiplication, read, subtraction, transposition, write determinant of eigenvalues, eigenvectors, real symmetric inversion Maximum value 53-7 Mean 50-2, 72, 88 Means, difference between Median 53-7 Minimum value 53-7 Multiple assignment statements 5 Multiple linear regression Multiple regression coefficient 89 Multiple statement lines 2, 5 N(O, 1) see Normal distribution Newton's method Normal distribution Normal equations 87,89, 99 Numerical integration Index 177 Orthogonal matrix transformation 114 Paired comparisons Pascal language 2 Percentiles 53-7 Permutations Pivotal condensation 119 Poisson distribution 12, 22-4 Polar form 167 Polynomial regression Polynomials see Chebyshev polynomial Portability 4 Presentation 2 PRINT 4 Probability see also Random numbers binomial 20-1 exponential normal 25-8 Poisson 22-4 Procedures 1 Quadratic equation R2 103 Random numbers 4, 8 binomial 9-11 exponential normal Poisson uniform or rectangular 6,12,15,18 Range 53-7 Real roots 154,158 Real symmetric matrix 114 Rectangular distribution see Uniform distribution Regression Regression coefficients 87, 89, 98-9 REM 2 Replicates 77, 83 Residual 76,85, 99 Residual analysis 87, 90 RETURN 2 RND 6 Rounding errors 6-7,99,103,119 Runge-Kutta method Shell sort 53 Significant figures 4 Simpson's rule 7, Simulation 7,10-11,13-14,16-19 Simultaneous equations 7, see also Equations Software viii, 6
5 178 Solution of equations Sorting 53-7 Spectrum 4 Speed 1-3,8 Standard deviation 50-2 Standard error 58-63, Standardised residual 90 Statements 4-5 STEP 5 Stirling's approximation 31 STOP 5 String variables 5 Structure 2-3 Student's t distribution 47-9,58-63 Style 3 Subroutine viii, ix, 1,3,8 Summary statistics 51 Syntax 4 Index t distribution 47-9,58-63 t test THEN 6 Time 7, see also Speed Trapezium rule Triangular matrix 119 U(O, 1) see Uniform distribution Uniform distribution 6,12,15,18 Variables, array, control, global, local, integer, string 4-5 Variables, random see Random numbers Variance 50-2, Variance ratio see F ratio
6 Software Diskette A diskette containing all the programs included in this book for use on an IBM PC is available (ISBN ). Details of prices and availability can be obtained from Publisher for Computing Books Macmillan Education Houndmills Basingstoke RG21 2XS
CAM Ph.D. Qualifying Exam in Numerical Analysis CONTENTS
CAM Ph.D. Qualifying Exam in Numerical Analysis CONTENTS Preliminaries Round-off errors and computer arithmetic, algorithms and convergence Solutions of Equations in One Variable Bisection method, fixed-point
More informationTABLE OF CONTENTS INTRODUCTION, APPROXIMATION & ERRORS 1. Chapter Introduction to numerical methods 1 Multiple-choice test 7 Problem set 9
TABLE OF CONTENTS INTRODUCTION, APPROXIMATION & ERRORS 1 Chapter 01.01 Introduction to numerical methods 1 Multiple-choice test 7 Problem set 9 Chapter 01.02 Measuring errors 11 True error 11 Relative
More informationINDIAN INSTITUTE OF TECHNOLOGY ROORKEE
INDIAN INSTITUTE OF TECHNOLOGY ROORKEE NAME OF DEPTT./CENTRE: Mathematics Department 1. Subject Code: MAN-001 Course Title: Mathematics I 2. Contact Hours: L: 3 T: 1 P: 0 3. Examination Duration (Hrs.):
More informationContents. Preface to the Third Edition (2007) Preface to the Second Edition (1992) Preface to the First Edition (1985) License and Legal Information
Contents Preface to the Third Edition (2007) Preface to the Second Edition (1992) Preface to the First Edition (1985) License and Legal Information xi xiv xvii xix 1 Preliminaries 1 1.0 Introduction.............................
More informationENGINEERING MATHEMATICS I. CODE: 10 MAT 11 IA Marks: 25 Hrs/Week: 04 Exam Hrs: 03 PART-A
ENGINEERING MATHEMATICS I CODE: 10 MAT 11 IA Marks: 25 Hrs/Week: 04 Exam Hrs: 03 Total Hrs: 52 Exam Marks:100 PART-A Unit-I: DIFFERENTIAL CALCULUS - 1 Determination of n th derivative of standard functions-illustrative
More informationBTAM 101Engineering Mathematics-I Objective/s and Expected outcome PART A 1. Differential Calculus: 2. Integral Calculus: 3. Partial Derivatives:
BTAM 101Engineering Mathematics-I Objective/s and Expected outcome Math and basic science are certainly the foundations of any engineering program. This fact will not change in the foreseeable future said
More informationNumerical Analysis for Statisticians
Kenneth Lange Numerical Analysis for Statisticians Springer Contents Preface v 1 Recurrence Relations 1 1.1 Introduction 1 1.2 Binomial CoefRcients 1 1.3 Number of Partitions of a Set 2 1.4 Horner's Method
More informationApplied Numerical Analysis
Applied Numerical Analysis Using MATLAB Second Edition Laurene V. Fausett Texas A&M University-Commerce PEARSON Prentice Hall Upper Saddle River, NJ 07458 Contents Preface xi 1 Foundations 1 1.1 Introductory
More informationContents. I Basic Methods 13
Preface xiii 1 Introduction 1 I Basic Methods 13 2 Convergent and Divergent Series 15 2.1 Introduction... 15 2.1.1 Power series: First steps... 15 2.1.2 Further practical aspects... 17 2.2 Differential
More informationNumerical Methods for Engineers. and Scientists. Applications using MATLAB. An Introduction with. Vish- Subramaniam. Third Edition. Amos Gilat.
Numerical Methods for Engineers An Introduction with and Scientists Applications using MATLAB Third Edition Amos Gilat Vish- Subramaniam Department of Mechanical Engineering The Ohio State University Wiley
More informationAS and A level Further mathematics contents lists
AS and A level Further mathematics contents lists Contents Core Pure Mathematics Book 1/AS... 2 Core Pure Mathematics Book 2... 4 Further Pure Mathematics 1... 6 Further Pure Mathematics 2... 8 Further
More informationNumerical Analysis. A Comprehensive Introduction. H. R. Schwarz University of Zürich Switzerland. with a contribution by
Numerical Analysis A Comprehensive Introduction H. R. Schwarz University of Zürich Switzerland with a contribution by J. Waldvogel Swiss Federal Institute of Technology, Zürich JOHN WILEY & SONS Chichester
More informationNumerical Recipes. in Fortran 77. The Art of Scientific Computing Second Edition. Volume 1 of Fortran Numerical Recipes. William H.
Numerical Recipes in Fortran 77 The Art of Scientific Computing Second Edition Volume 1 of Fortran Numerical Recipes William H. Press Harvard-Smithsonian Center for Astrophysics Saul A. Teukolsky Department
More informationNumerical Methods. Scientists. Engineers
Third Edition Numerical Methods for Scientists and Engineers K. Sankara Rao Numerical Methods for Scientists and Engineers Numerical Methods for Scientists and Engineers Third Edition K. SANKARA RAO Formerly,
More informationPreface. 2 Linear Equations and Eigenvalue Problem 22
Contents Preface xv 1 Errors in Computation 1 1.1 Introduction 1 1.2 Floating Point Representation of Number 1 1.3 Binary Numbers 2 1.3.1 Binary number representation in computer 3 1.4 Significant Digits
More informationNUMERICAL METHODS USING MATLAB
NUMERICAL METHODS USING MATLAB Dr John Penny George Lindfield Department of Mechanical Engineering, Aston University ELLIS HORWOOD NEW YORK LONDON TORONTO SYDNEY TOKYO SINGAPORE Preface 1 An introduction
More informationKumaun University Nainital
Kumaun University Nainital Department of Statistics B. Sc. Semester system course structure: 1. The course work shall be divided into six semesters with three papers in each semester. 2. Each paper in
More informationHANDBOOK OF APPLICABLE MATHEMATICS
HANDBOOK OF APPLICABLE MATHEMATICS Chief Editor: Walter Ledermann Volume VI: Statistics PART A Edited by Emlyn Lloyd University of Lancaster A Wiley-Interscience Publication JOHN WILEY & SONS Chichester
More informationNUMERICAL MATHEMATICS AND COMPUTING
NUMERICAL MATHEMATICS AND COMPUTING Fourth Edition Ward Cheney David Kincaid The University of Texas at Austin 9 Brooks/Cole Publishing Company I(T)P An International Thomson Publishing Company Pacific
More informationComputational Methods
Numerical Computational Methods Revised Edition P. B. Patil U. P. Verma Alpha Science International Ltd. Oxford, U.K. CONTENTS Preface List ofprograms v vii 1. NUMER1CAL METHOD, ERROR AND ALGORITHM 1 1.1
More informationDepartment of Mathematics Faculty of Natural Science, Jamia Millia Islamia, New Delhi-25
Department of Mathematics Faculty of Natural Science, Jamia Millia Islamia, New Delhi-25 Course Structure of U.G. under CBCS* (Only for those students who have not taken mathematics as a core or subsidiary
More informationTABLE OF CONTENTS CHAPTER 1 COMBINATORIAL PROBABILITY 1
TABLE OF CONTENTS CHAPTER 1 COMBINATORIAL PROBABILITY 1 1.1 The Probability Model...1 1.2 Finite Discrete Models with Equally Likely Outcomes...5 1.2.1 Tree Diagrams...6 1.2.2 The Multiplication Principle...8
More informationMathematics with Maple
Mathematics with Maple A Comprehensive E-Book Harald Pleym Preface The main objective of these Maple worksheets, organized for use with all Maple versions from Maple 14, is to show how the computer algebra
More informationReview. Numerical Methods Lecture 22. Prof. Jinbo Bi CSE, UConn
Review Taylor Series and Error Analysis Roots of Equations Linear Algebraic Equations Optimization Numerical Differentiation and Integration Ordinary Differential Equations Partial Differential Equations
More informationDeccan Education Society s FERGUSSON COLLEGE, PUNE (AUTONOMOUS) SYLLABUS UNDER AUTOMONY. SECOND YEAR B.Sc. SEMESTER - III
Deccan Education Society s FERGUSSON COLLEGE, PUNE (AUTONOMOUS) SYLLABUS UNDER AUTOMONY SECOND YEAR B.Sc. SEMESTER - III SYLLABUS FOR S. Y. B. Sc. STATISTICS Academic Year 07-8 S.Y. B.Sc. (Statistics)
More informationSyllabus (Session )
Syllabus (Session 2016-17) Department of Mathematics nstitute of Applied Sciences & Humanities AHM-1101: ENGNEERNG MATHEMATCS Course Objective: To make the students understand the concepts of Calculus,
More informationPaper- I : BM-301 : Analysis
Paper- I : BM-301 : Analysis Max Marks: 30 Time : 3 Hours Section-I (3 Questions) Riemann integral, Integrability of continuous and monotonic functions. The fundamental theorem of integral calculus. Mean
More informationF I F T H E D I T I O N. Introductory Methods of Numerical Analysis. S.S. Sastry
F I F T H E D I T I O N Introductory Methods of Numerical Analysis S.S. Sastry Introductory Methods of Numerical Analysis Introductory Methods of Numerical Analysis Fifth Edition S.S. SASTRY Formerly,
More informationExam 2. Average: 85.6 Median: 87.0 Maximum: Minimum: 55.0 Standard Deviation: Numerical Methods Fall 2011 Lecture 20
Exam 2 Average: 85.6 Median: 87.0 Maximum: 100.0 Minimum: 55.0 Standard Deviation: 10.42 Fall 2011 1 Today s class Multiple Variable Linear Regression Polynomial Interpolation Lagrange Interpolation Newton
More information(w.e.f. session )
M.Sc. (Mathematics): 1 st year Subject: Differential Geometry-I Subject Code: MT413 Unit-1 Coordinate transformation, Covariant, Contravariant and Mixed tensors, Tensors of higher rank, Symmetric and Skew-symmetric
More informationPRECALCULUS BISHOP KELLY HIGH SCHOOL BOISE, IDAHO. Prepared by Kristina L. Gazdik. March 2005
PRECALCULUS BISHOP KELLY HIGH SCHOOL BOISE, IDAHO Prepared by Kristina L. Gazdik March 2005 1 TABLE OF CONTENTS Course Description.3 Scope and Sequence 4 Content Outlines UNIT I: FUNCTIONS AND THEIR GRAPHS
More informationMATHEMATICAL METHODS INTERPOLATION
MATHEMATICAL METHODS INTERPOLATION I YEAR BTech By Mr Y Prabhaker Reddy Asst Professor of Mathematics Guru Nanak Engineering College Ibrahimpatnam, Hyderabad SYLLABUS OF MATHEMATICAL METHODS (as per JNTU
More informationEngineering. Mathematics. GATE 2019 and ESE 2019 Prelims. For. Comprehensive Theory with Solved Examples
Thoroughly Revised and Updated Engineering Mathematics For GATE 2019 and ESE 2019 Prelims Comprehensive Theory with Solved Examples Including Previous Solved Questions of GATE (2003-2018) and ESE-Prelims
More informationFundamental Numerical Methods for Electrical Engineering
Stanislaw Rosloniec Fundamental Numerical Methods for Electrical Engineering 4y Springei Contents Introduction xi 1 Methods for Numerical Solution of Linear Equations 1 1.1 Direct Methods 5 1.1.1 The Gauss
More informationPharmaceutical Experimental Design and Interpretation
Pharmaceutical Experimental Design and Interpretation N. ANTHONY ARMSTRONG, B. Pharm., Ph.D., F.R.Pharm.S., MCPP. KENNETH C. JAMES, M. Pharm., Ph.D., D.Sc, FRSC, F.R.Pharm.S., C.Chem. Welsh School of Pharmacy,
More informationEngineering Mathematics
Thoroughly Revised and Updated Engineering Mathematics For GATE 2017 and ESE 2017 Prelims Note: ESE Mains Electrical Engineering also covered Publications Publications MADE EASY Publications Corporate
More informationStat 5101 Lecture Notes
Stat 5101 Lecture Notes Charles J. Geyer Copyright 1998, 1999, 2000, 2001 by Charles J. Geyer May 7, 2001 ii Stat 5101 (Geyer) Course Notes Contents 1 Random Variables and Change of Variables 1 1.1 Random
More informationNumerical Recipes in C visit
Numerical Recipes in C visit The Art of Scientific Computing Second Edition William H. Press Harvard-Smithsonian Center for Astrophysics Saul A. Teukolsky Department of Physics, Cornell University William
More informationNUMERICAL COMPUTATION IN SCIENCE AND ENGINEERING
NUMERICAL COMPUTATION IN SCIENCE AND ENGINEERING C. Pozrikidis University of California, San Diego New York Oxford OXFORD UNIVERSITY PRESS 1998 CONTENTS Preface ix Pseudocode Language Commands xi 1 Numerical
More informationBHARATHIAR UNIVERSITY, COIMBATORE. B.Sc. Mathematics CA (Revised papers with effect from onwards)
Page 1 of 7 SCAA Dt. 06-02-2014 BHARATHIAR UNIVERSITY, COIMBATORE. B.Sc. Mathematics CA (Revised papers with effect from 2014-15 onwards) Note : The revised syllabi for the following papers furnished below
More informationIntroduction. Finite and Spectral Element Methods Using MATLAB. Second Edition. C. Pozrikidis. University of Massachusetts Amherst, USA
Introduction to Finite and Spectral Element Methods Using MATLAB Second Edition C. Pozrikidis University of Massachusetts Amherst, USA (g) CRC Press Taylor & Francis Group Boca Raton London New York CRC
More informationMathematical Methods for Engineers and Scientists 1
K.T. Tang Mathematical Methods for Engineers and Scientists 1 Complex Analysis, Determinants and Matrices With 49 Figures and 2 Tables fyj Springer Part I Complex Analysis 1 Complex Numbers 3 1.1 Our Number
More informationNumerical Analysis. Introduction to. Rostam K. Saeed Karwan H.F. Jwamer Faraidun K. Hamasalh
Iraq Kurdistan Region Ministry of Higher Education and Scientific Research University of Sulaimani Faculty of Science and Science Education School of Science Education-Mathematics Department Introduction
More informationMATHEMATICS. Course Syllabus. Section A: Linear Algebra. Subject Code: MA. Course Structure. Ordinary Differential Equations
MATHEMATICS Subject Code: MA Course Structure Sections/Units Section A Section B Section C Linear Algebra Complex Analysis Real Analysis Topics Section D Section E Section F Section G Section H Section
More informationFOR STUDENTS ADMITTED FROM B.E
FOR STUDENTS ADMITTED FROM 2012-2013 B.E EBU12FT122 - BASIC MATHEMATICS FOR ENGINEERING (B.E. FIRST YEAR - COMMON FOR ALL BRANCHES) (For students admitted from 2012-13) UNIT I (NUMERICAL SOLUTION OF ALGEBRAIC,
More informationCourse ID May 2017 COURSE OUTLINE. Mathematics 130 Elementary & Intermediate Algebra for Statistics
Non-Degree Applicable Glendale Community College Course ID 010238 May 2017 Catalog Statement COURSE OUTLINE Mathematics 130 Elementary & Intermediate Algebra for Statistics is a one-semester accelerated
More informationAdvanced. Engineering Mathematics
Advanced Engineering Mathematics A new edition of Further Engineering Mathematics K. A. Stroud Formerly Principal Lecturer Department of Mathematics, Coventry University with additions by Dexter j. Booth
More informationThird Edition. William H. Press. Raymer Chair in Computer Sciences and Integrative Biology The University of Texas at Austin. Saul A.
NUMERICAL RECIPES The Art of Scientific Computing Third Edition William H. Press Raymer Chair in Computer Sciences and Integrative Biology The University of Texas at Austin Saul A. Teukolsky Hans A. Bethe
More informationCourse Code: MTH-S101 Breakup: 3 1 0 4 Course Name: Mathematics-I Course Details: Unit-I: Sequences & Series: Definition, Monotonic sequences, Bounded sequences, Convergent and Divergent Sequences Infinite
More information7. Piecewise Polynomial (Spline) Interpolation
- 64-7 Piecewise Polynomial (Spline Interpolation Single polynomial interpolation has two major disadvantages First, it is not computationally efficient when the number of data points is large When the
More informationNumerical Methods in Physics and Astrophysics
Kostas Kokkotas 2 October 17, 2017 2 http://www.tat.physik.uni-tuebingen.de/ kokkotas Kostas Kokkotas 3 TOPICS 1. Solving nonlinear equations 2. Solving linear systems of equations 3. Interpolation, approximation
More informationGuide for Ph.D. Area Examination in Applied Mathematics
Guide for Ph.D. Area Examination in Applied Mathematics (for graduate students in Purdue University s School of Mechanical Engineering) (revised Fall 2016) This is a 3 hour, closed book, written examination.
More informationNUMERICAL ANALYSIS SYLLABUS MATHEMATICS PAPER IV (A)
NUMERICAL ANALYSIS SYLLABUS MATHEMATICS PAPER IV (A) Unit - 1 Errors & Their Accuracy Solutions of Algebraic and Transcendental Equations Bisection Method The method of false position The iteration method
More informationNumerical Analysis for Engineers and Scientists
Numerical Analysis for Engineers and Scientists Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. The author provides a clear introduction
More informationMATHEMATICAL HANDBOOK. Formulas and Tables
SCHAUM'S OUTLINE SERIES MATHEMATICAL HANDBOOK of Formulas and Tables Second Edition MURRAY R. SPIEGEL, Ph.D. Former Professor and Chairman Mathematics Department Rensselaer Polytechnic Institute Hartford
More informationIntegral Section List for OCR Specification
Integral Section List for OCR Specification 161 Sections are listed below, covering all of AS/A level Mathematics and Further Mathematics, categorised by Module and Topic Module Topic Section Name OCR
More informationDepartment of Statistics Gauhati University B.Sc. General Syllabus: Statistics (Semester System)
Department of Statistics Gauhati University B.Sc. General Syllabus: Statistics (Semester System) Semester I Credit - 6 One theory paper consisting of 75 marks. Total marks: - 75 Paper E 101 or 102 or 103
More informationIndex. for Ɣ(a, z), 39. convergent asymptotic representation, 46 converging factor, 40 exponentially improved, 39
Index Abramowitz function computed by Clenshaw s method, 74 absolute error, 356 Airy function contour integral for, 166 Airy functions algorithm, 359 asymptotic estimate of, 18 asymptotic expansions, 81,
More informationPARTIAL DIFFERENTIAL EQUATIONS
MATHEMATICAL METHODS PARTIAL DIFFERENTIAL EQUATIONS I YEAR B.Tech By Mr. Y. Prabhaker Reddy Asst. Professor of Mathematics Guru Nanak Engineering College Ibrahimpatnam, Hyderabad. SYLLABUS OF MATHEMATICAL
More informationCS760, S. Qiao Part 3 Page 1. Kernighan and Pike [5] present the following general guidelines for testing software.
CS760, S. Qiao Part 3 Page 1 Testing 1 General Guidelines Kernighan and Pike [5] present the following general guidelines for testing software. Know exactly what you are testing and what results you expect.
More informationSTATE COUNCIL OF EDUCATIONAL RESEARCH AND TRAINING TNCF DRAFT SYLLABUS
STATE COUNCIL OF EDUCATIONAL RESEARCH AND TRAINING TNCF 2017 - DRAFT SYLLABUS Subject :Business Maths Class : XI Unit 1 : TOPIC Matrices and Determinants CONTENT Determinants - Minors; Cofactors; Evaluation
More informationInstitute of Actuaries of India
Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics For 2018 Examinations Subject CT3 Probability and Mathematical Statistics Core Technical Syllabus 1 June 2017 Aim The
More informationUtah Secondary Mathematics Core Curriculum Precalculus
A Correlation of Trigonometry Lial To the Utah Secondary Mathematics Core Curriculum Precalculus Resource Title: Trigonometry Publisher: Pearson Education Inc Publishing as Prentice Hall ISBN (10 or 13
More informationNumerical Methods in Physics and Astrophysics
Kostas Kokkotas 2 October 20, 2014 2 http://www.tat.physik.uni-tuebingen.de/ kokkotas Kostas Kokkotas 3 TOPICS 1. Solving nonlinear equations 2. Solving linear systems of equations 3. Interpolation, approximation
More informationMathematics for Engineers and Scientists
Mathematics for Engineers and Scientists Fourth edition ALAN JEFFREY University of Newcastle-upon-Tyne B CHAPMAN & HALL University and Professional Division London New York Tokyo Melbourne Madras Contents
More informationTwo hours. To be provided by Examinations Office: Mathematical Formula Tables. THE UNIVERSITY OF MANCHESTER. 29 May :45 11:45
Two hours MATH20602 To be provided by Examinations Office: Mathematical Formula Tables. THE UNIVERSITY OF MANCHESTER NUMERICAL ANALYSIS 1 29 May 2015 9:45 11:45 Answer THREE of the FOUR questions. If more
More informationElectrical Engg. Department Semester :4
Semester :4 Teaching Scheme for Electrical Engineering Semester I Course Code Course Title Lecture Hours Tutorial Hours Practical Hours Credit MA 2002 Mathematics I: Introduction to Numerical Analysis
More informationx x2 2 + x3 3 x4 3. Use the divided-difference method to find a polynomial of least degree that fits the values shown: (b)
Numerical Methods - PROBLEMS. The Taylor series, about the origin, for log( + x) is x x2 2 + x3 3 x4 4 + Find an upper bound on the magnitude of the truncation error on the interval x.5 when log( + x)
More informationMathematical Methods for Numerical Analysis and Optimization
Biyani's Think Tank Concept based notes Mathematical Methods for Numerical Analysis and Optimization (MCA) Varsha Gupta Poonam Fatehpuria M.Sc. (Maths) Lecturer Deptt. of Information Technology Biyani
More informationSubject CS1 Actuarial Statistics 1 Core Principles
Institute of Actuaries of India Subject CS1 Actuarial Statistics 1 Core Principles For 2019 Examinations Aim The aim of the Actuarial Statistics 1 subject is to provide a grounding in mathematical and
More informationM.SC. PHYSICS - II YEAR
MANONMANIAM SUNDARANAR UNIVERSITY DIRECTORATE OF DISTANCE & CONTINUING EDUCATION TIRUNELVELI 627012, TAMIL NADU M.SC. PHYSICS - II YEAR DKP26 - NUMERICAL METHODS (From the academic year 2016-17) Most Student
More informationBACHELOR OF COMPUTER APPLICATIONS (BCA) (Revised) Term-End Examination December, 2015 BCS-054 : COMPUTER ORIENTED NUMERICAL TECHNIQUES
No. of Printed Pages : 5 BCS-054 BACHELOR OF COMPUTER APPLICATIONS (BCA) (Revised) Term-End Examination December, 2015 058b9 BCS-054 : COMPUTER ORIENTED NUMERICAL TECHNIQUES Time : 3 hours Maximum Marks
More informationIDL Advanced Math & Stats Module
IDL Advanced Math & Stats Module Regression List of Routines and Functions Multiple Linear Regression IMSL_REGRESSORS IMSL_MULTIREGRESS IMSL_MULTIPREDICT Generates regressors for a general linear model.
More informationMATHEMATICS (MATH) Calendar
MATHEMATICS (MATH) This is a list of the Mathematics (MATH) courses available at KPU. For information about transfer of credit amongst institutions in B.C. and to see how individual courses transfer, go
More informationUtah Core State Standards for Mathematics - Precalculus
A Correlation of A Graphical Approach to Precalculus with Limits A Unit Circle Approach 6 th Edition, 2015 to the Resource Title: with Limits 6th Edition Publisher: Pearson Education publishing as Prentice
More informationCourse Code: MTH-S101 Breakup: 3 1 0 4 Course Name: Mathematics-I Course Details: Unit-I: Sequences & Series: Definition, Monotonic sequences, Bounded sequences, Convergent and Divergent Sequences Infinite
More informationUniversity of Texas-Austin - Integration of Computing
University of Texas-Austin - Integration of Computing During 2001-2002 the Department of Chemical Engineering at UT-Austin revamped the computing thread in its curriculum in order to strengthen student
More informationPractical Statistics for the Analytical Scientist Table of Contents
Practical Statistics for the Analytical Scientist Table of Contents Chapter 1 Introduction - Choosing the Correct Statistics 1.1 Introduction 1.2 Choosing the Right Statistical Procedures 1.2.1 Planning
More informationFRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE
FRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE Course Title: Probability and Statistics (MATH 80) Recommended Textbook(s): Number & Type of Questions: Probability and Statistics for Engineers
More informationCOURSE CONTRACT Course Name
COURSE CONTRACT Course Name Numerical Methods Course Code KPL Semester Odd /4 Days/ hours Tuesday/ 7.-. Place F8 Course Status compulsory Course Prerequisites. Calculus I. Calculus II. Linear Algebra 4.
More informationMTH603 FAQ + Short Questions Answers.
Absolute Error : Accuracy : The absolute error is used to denote the actual value of a quantity less it s rounded value if x and x* are respectively the rounded and actual values of a quantity, then absolute
More informationAIMS Exercise Set # 1
AIMS Exercise Set #. Determine the form of the single precision floating point arithmetic used in the computers at AIMS. What is the largest number that can be accurately represented? What is the smallest
More informationCourse Plan for Spring Semester 2018
Course Plan for Spring Semester 2018 Tezpur University Course: MS 103, Mathematics-II (For the B. Tech. Students of the School of Engineering) L3-T1-P0-CH4-CR4 Name of the instructors: 1. Mr. Parama Dutta
More informationA THEORETICAL INTRODUCTION TO NUMERICAL ANALYSIS
A THEORETICAL INTRODUCTION TO NUMERICAL ANALYSIS Victor S. Ryaben'kii Semyon V. Tsynkov Chapman &. Hall/CRC Taylor & Francis Group Boca Raton London New York Chapman & Hall/CRC is an imprint of the Taylor
More informationMTH 152 MATHEMATICS FOR THE LIBERAL ARTS II. Course Prerequisites: MTE 1,2,3,4, and 5 or a placement recommendation for MTH 152
Revised: Fall 2015 MTH 152 COURSE OUTLINE Course Prerequisites: MTE 1,2,3,4, and 5 or a placement recommendation for MTH 152 Course Description: Presents topics in functions, combinatorics, probability,
More informationAPPLIED NUMERICAL LINEAR ALGEBRA
APPLIED NUMERICAL LINEAR ALGEBRA James W. Demmel University of California Berkeley, California Society for Industrial and Applied Mathematics Philadelphia Contents Preface 1 Introduction 1 1.1 Basic Notation
More informationPreface to Second Edition... vii. Preface to First Edition...
Contents Preface to Second Edition..................................... vii Preface to First Edition....................................... ix Part I Linear Algebra 1 Basic Vector/Matrix Structure and
More informationADVANCED ENGINEERING MATHEMATICS MATLAB
ADVANCED ENGINEERING MATHEMATICS WITH MATLAB THIRD EDITION Dean G. Duffy Contents Dedication Contents Acknowledgments Author Introduction List of Definitions Chapter 1: Complex Variables 1.1 Complex Numbers
More informationINTRODUCTION, FOUNDATIONS
1 INTRODUCTION, FOUNDATIONS ELM1222 Numerical Analysis Some of the contents are adopted from Laurene V. Fausett, Applied Numerical Analysis using MATLAB. Prentice Hall Inc., 1999 2 Today s lecture Information
More informationNUMERICAL METHODS FOR ENGINEERING APPLICATION
NUMERICAL METHODS FOR ENGINEERING APPLICATION Second Edition JOEL H. FERZIGER A Wiley-Interscience Publication JOHN WILEY & SONS, INC. New York / Chichester / Weinheim / Brisbane / Singapore / Toronto
More informationUnivariate Discrete Distributions
Univariate Discrete Distributions Second Edition NORMAN L. JOHNSON University of North Carolina Chapel Hill, North Carolina SAMUEL KOTZ University of Maryland College Park, Maryland ADRIENNE W. KEMP University
More informationOrbital and Celestial Mechanics
Orbital and Celestial Mechanics John P. Vinti Edited by Gim J. Der TRW Los Angeles, California Nino L. Bonavito NASA Goddard Space Flight Center Greenbelt, Maryland Volume 177 PROGRESS IN ASTRONAUTICS
More informationBASIC EXAM ADVANCED CALCULUS/LINEAR ALGEBRA
1 BASIC EXAM ADVANCED CALCULUS/LINEAR ALGEBRA This part of the Basic Exam covers topics at the undergraduate level, most of which might be encountered in courses here such as Math 233, 235, 425, 523, 545.
More informationDeccan Education Society s FERGUSSON COLLEGE, PUNE (AUTONOMOUS) SYLLABUS UNDER AUTONOMY. FIRST YEAR B.Sc.(Computer Science) SEMESTER I
Deccan Education Society s FERGUSSON COLLEGE, PUNE (AUTONOMOUS) SYLLABUS UNDER AUTONOMY FIRST YEAR B.Sc.(Computer Science) SEMESTER I SYLLABUS FOR F.Y.B.Sc.(Computer Science) STATISTICS Academic Year 2016-2017
More informationTable 1 Principle Matlab operators and functions Name Description Page reference
Matlab Index Table 1 summarises the Matlab supplied operators and functions to which we have referred. In most cases only a few of the options available to the individual functions have been fully utilised.
More informationMathematics portion of the Doctor of Engineering Qualifying Examination
Mathematics portion of the Doctor of Engineering Qualifying Examination. The exam will be made up by faculty members of the Department of Mathematics and Computer Science. Dr. Kathy Zhong ( zhongk@udmercy.edu
More informationSTATISTICS AND NUMERICAL METHODS
STATISTICS AND NUMERICAL METHODS Question IV November / December 2011 Part-A 1. The heights of college students in Chennai are normally distributed with standard deviation 6 cm and sample of 100 students
More informationSTATISTICS; An Introductory Analysis. 2nd hidition TARO YAMANE NEW YORK UNIVERSITY A HARPER INTERNATIONAL EDITION
2nd hidition TARO YAMANE NEW YORK UNIVERSITY STATISTICS; An Introductory Analysis A HARPER INTERNATIONAL EDITION jointly published by HARPER & ROW, NEW YORK, EVANSTON & LONDON AND JOHN WEATHERHILL, INC.,
More informationHANDBOOK OF APPLICABLE MATHEMATICS
HANDBOOK OF APPLICABLE MATHEMATICS Chief Editor: Walter Ledermann Volume II: Probability Emlyn Lloyd University oflancaster A Wiley-Interscience Publication JOHN WILEY & SONS Chichester - New York - Brisbane
More informationLinear Statistical Models
Linear Statistical Models JAMES H. STAPLETON Michigan State University A Wiley-Interscience Publication JOHN WILEY & SONS, INC. New York 0 Chichester 0 Brisbane 0 Toronto 0 Singapore This Page Intentionally
More information