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 Thu 25 Jun 2026.

    A Paperback / softback by Steven Chapra

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      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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