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    Applied Numerical Methods W/MATLAB: for Engineers & Scientists

    Applied Numerical Methods W/MATLAB by Chapra, Steven;

    for Engineers & Scientists

    Series: CIVIL ENGINEERING;

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    Product details:

    • Edition number 3
    • Publisher McGraw-Hill Education
    • Date of Publication 16 March 2011

    • ISBN 9780073401102
    • Binding Hardback
    • No. of pages672 pages
    • Size 238x231x33 mm
    • Weight 1141 g
    • Language English
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    Long description:

    Steven Chapra’s Applied Numerical Methods with MATLAB, third edition, is written for engineering and science students who need to learn numerical problem solving. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The book 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.



    Steven Chapra’s Applied Numerical Methods with MATLAB, third edition, is written for engineering and science students who need to learn numerical problem solving. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The book 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.

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    Table of Contents:

    Part One: 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 Two: Roots and Optimization

    Chapter 5: Roots: Bracketing Methods

    Chapter 6: Roots: Open Methods

    Chapter 7: Optimization

    Part Three: 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 Four: 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 Five: Integration and Differentiation

    Chapter 19: Numerical Integration Formulas

    Chapter 20: Numerical Integration of Functions

    Chapter 21: Numerical Differentiation

    Part Six: 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

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