Numerical Analysis: Using MATLAB and Spreadsheets

Students and working professionals will find Numerical Analysis Using MATLABR and Spreadsheets, Second Edition, to be a concise and easy-to-learn text. It provides complete, clear, and detailed explanations of the principal numerical analysis methods and well known functions used in science and engineering. These are illustrated with many real-world examples. Previous Editions Are Cited In Books For College Libraries, 3d Ed, Guide To Reference Books, And Walford. Notable Scientists Based In The Us—and Canada— Appear In Short Biographical Entries, Arranged Alphabetically, In This Massive Eight-volume Reference. The Current Edition Features Entries For 132,877 People Of Which About 4,000 Are New. Only Living Scientists Are Profiled; Readers Are Referred To Earlier Editions For The Deceased. Each Entry Provides Information Concerning Birthdate And Place, Citizenship, Name Of Spouse, Names Or Number Of Children, Field Of Specialty, Education, Honorary Degreees, Professional Experience, Honors And Awards, Memberships, Research Information, And Contact Data. Volume One Lists Recipients Of Major Honors And Awards In 2003 And 2004 And Contains Tables With Statistics On The Number, Age, And Location Of Scientists In Various Fields. Volume 8 Is Devoted To An Index That Groups Entrants By Specialty Using The 192 Subject Specialties Identified By The National Science Foundation. It Is Unfortunate That The Index Page Headers Do Not Indicate The Many Disciplines Listed Within Each Major Specialty; Readers Must Skim Through All Of Engineering, For Example, To Find, In Small Print, The Headings For Agricultural Engineering, Bioengineering, Biological Engineering, And So On. Annotation ©2004 Book News, Inc., Portland, Or Annotation This text provides complete, clear, and detailed explanations of the principal numerical analysis methods and well known functions used in science and engineering. These are illustrated with many practical examples. With this text the reader learns numerical analysis with many real-world applications, MATLAB, and spreadsheets simultaneously. This text includes the following chapters:? Introduction to MATLAB? Root Approximations? Sinusoids and Complex Numbers? Matrices and Determinants? Review of Differential Equations? Fourier, Taylor, and Maclaurin Series? Finite Differences and Interpolation? Linear and Parabolic Regression? Solution of Differential Equations by Numerical Methods? Integration by Numerical Methods? Difference Equations? Partial Fraction Expansion? The Gamma and Beta Functions? Orthogonal Functions and Matrix Factorizations? Bessel, Legendre, and Chebyshev Polynomials? Optimization MethodsEach chapter contains numerous practical applications supplemented with detailed instructionsfor using MATLAB and/or Microsoft Excel? to obtain quick solutions Front Cover; Back Cover; Title Page; Preface; Table of Contents; Chapter 01 Introduction to MATLAB; Chapter 02 Root Approximations; Chapter 03 Sinusoids and Phasors; Chapter 04 Matrices and Determinants; Chapter 05 Differential Equations, State Variables, and State Equations; Chapter 06 Fourier, Taylor, and Maclaurin Series; Chapter 07 Finite Differences and Interpolation; Chapter 08 Linear and Parabolic Regression; Chapter 09 Solution of Differential Equations by Numerical Methods; Chapter 10 Integration by Numerical Methods; Chapter 11 Difference Equations Chapter 12 Partial Fraction ExpansionChapter 13 The Gamma and Beta Functions and Distributions; Chapter 14 Orthogonal Functions and Matrix Factorizations; Chapter 15 Bessel, Legendre, and Chebyshev Functions; Chapter 16 Optimization Methods; Index This text begins with an introduction to MATLAB (Student Version). Contents: Root Approximations with Newton's Method and others, Partial Fraction Expansion, Sinusoids, Complex Numbers, Matrices and Determinants, Differential Equations, Power Series, Finite Differences, Interpolation, Linear and Parabolic Regression, Solution of Differential Equations and Integration by Numerical Methods, Difference Equations, Gamma and Beta Functions, Bessel, Legendre, and Chebyshev Polynomials, and Optimization Methods. Annotation This text is intended for senior high-school students, community college students, four-year college students majoring in sciences and engineering, and working professionals seeking to enhance their knowledge on numerical analysis applications. It provides many real-world examples with detailed solutions and explanations, and new material based on the latest technology using computer programming applications. It is ideal for self-study This edition profiles living persons in the physical and biological fields, as well as public health scientists, engineers, mathematicians, statisticians, and computer scientists.