Title:
Applied numerical methods with MATLAB for engineers and scientists
Personal Author:
Edition:
3rd ed.
Publication Information:
New York, NY : McGraw-Hill, 2012
Physical Description:
xvi, 653 p. : ill. ; 25 cm.
ISBN:
9780073401102
Title Subject:
Subject Term:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010236098 | QA297 C485 2012 | Open Access Book | Book | Searching... |
Searching... | 30000010273530 | QA297 C485 2012 | Open Access Book | Book | Searching... |
Searching... | 30000010257950 | QA297 C485 2012 | Open Access Book | Book | Searching... |
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Summary
Summary
Steven Chapra's Applied Numerical Methods with MATLAB for Engineers and Scientists with MATLAB, third edition, is written for engineering and science students who want to learn and apply numerical methods in order to solve problems in engineering and science. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. This text is designed for a one-semester or one-quarter course in numerical methods typically taken by undergraduates.
The third edition features new chapters on Eigenvalues and Fourier Analysis and is accompanied by an extensive set of m-files and instructor materials.
Table of Contents
| Part 1 Modeling, Computers, and Error Analysis |
| Chapter 1 Mathematical Modeling, Numerical Methods and Problem Solving |
| Chapter 2 MATLAB Fundamentals |
| Chapter 3 Programming with Matlab |
| Chapter 4 Roundoff and Truncation Errors |
| Part 2 Roots and Optimization |
| Chapter 5 Roots: Bracketing Methods |
| Chapter 6 Roots: Open Methods |
| Chapter 7 Optimization |
| Part 3 Linear Systems |
| Chapter 8 Linear Algebraic Equations and Matrices |
| Chapter 9 Gauss Elimination |
| Chapter 10 LU Factorization |
| Chapter 11 Matrix Inverse and Condition |
| Chapter 12 Iterative Methods |
| Chapter 13 Eigenvalues |
| Part 4 Curve Fitting |
| Chapter 14 Linear Regression |
| Chapter 15 General Linear Least-Squares and Nonlinear Regression |
| Chapter 16 Fourier Analysis |
| Chapter 17 Polynomial Interpolation |
| Chapter 18 Splines and Piecewise Interpolation |
| Part 5 Integration and Differentiation |
| Chapter 19 Numerical Integration Formulas |
| Chapter 20 Numerical Integration of Functions |
| Chapter 21 Numerical Differentiation |
| Part 6 Ordinary Differential Equations |
| Chapter 22 Initial-Value Problems |
| Chapter 23 Adaptive Methods and Stiff Systems |
| Chapter 24 Boundary-Value Problems |
| Appendix A Matlab Built-in Functions |
| Appendix B MatlaB M-file Functions |
| Bibliography |
| Index |
