Description

Book Synopsis
Applied Numerical Methods with MATLAB is designed to support a one-semester course in numerical methods. It has been written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so students come away with insight into the techniques and their shortcomings.

This title will be available in Connect, featuring SmartBook, the MHeBook, and homework problems. Instructor Resources available for this title include: Image Library, Instructor Solutions Manual, Lecture PowerPoints, and MatLab Files.

Table of Contents
1 Mathematical Modeling, Numerical Methods, and Problem Solving
2 MATLAB Fundamentals
3 Programming with MATLAB
4 Roundoff and Truncation Errors
5 Roots: Bracketing Methods
6 Roots: Open Methods
7 Optimization
8 Linear Algebraic Equations and Matrices
9 Gauss Elimination
10 LU Factorization
11 Matrix Inverse and Condition
12 Iterative Methods
13 Eigenvalues
14 Linear Regression
15 General Linear Least-Squares and Nonlinear Regression
16 Fourier Analysis
17 Polynomial Interpolation
18 Splines and Piecewise Interpolation
19 Numerical Integration Formulas
20 Numerical Integration of Functions
21 Numerical Differentiation
22 Initial-Value Problems
23 Adaptive Methods and Stiff Systems
24 Boundary-Value Problems

Applied Numerical Methods with MATLAB for

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£48.59

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RRP £53.99 – you save £5.40 (10%)

Order before 4pm today for delivery by Fri 19 Dec 2025.

A Paperback / softback by Steven Chapra

15 in stock


    View other formats and editions of Applied Numerical Methods with MATLAB for by Steven Chapra

    Publisher: McGraw-Hill Education
    Publication Date: 04/04/2022
    ISBN13: 9781265148225, 978-1265148225
    ISBN10: 1265148228

    Description

    Book Synopsis
    Applied Numerical Methods with MATLAB is designed to support a one-semester course in numerical methods. It has been written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so students come away with insight into the techniques and their shortcomings.

    This title will be available in Connect, featuring SmartBook, the MHeBook, and homework problems. Instructor Resources available for this title include: Image Library, Instructor Solutions Manual, Lecture PowerPoints, and MatLab Files.

    Table of Contents
    1 Mathematical Modeling, Numerical Methods, and Problem Solving
    2 MATLAB Fundamentals
    3 Programming with MATLAB
    4 Roundoff and Truncation Errors
    5 Roots: Bracketing Methods
    6 Roots: Open Methods
    7 Optimization
    8 Linear Algebraic Equations and Matrices
    9 Gauss Elimination
    10 LU Factorization
    11 Matrix Inverse and Condition
    12 Iterative Methods
    13 Eigenvalues
    14 Linear Regression
    15 General Linear Least-Squares and Nonlinear Regression
    16 Fourier Analysis
    17 Polynomial Interpolation
    18 Splines and Piecewise Interpolation
    19 Numerical Integration Formulas
    20 Numerical Integration of Functions
    21 Numerical Differentiation
    22 Initial-Value Problems
    23 Adaptive Methods and Stiff Systems
    24 Boundary-Value Problems

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