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Applied Numerical Methods with MATLAB for Engineers and Scientists 5th Edition By Steven C. Chapra

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About this ebook
The Applied Numerical Methods with MATLAB for Engineers and Scientists  (5th Edition) by Steven C. Chapra covers 24 chapters organized into six major parts. It focuses heavily on problem-solving, engineering applications, and leveraging MATLAB code over raw theory.
Part 1: Modeling, Computers, and Error Analysis
  • Chapter 1: Mathematical Modeling, Numerical Methods, and Problem Solving
  • Chapter 2: MATLAB Fundamentals (Environment, Assignment, Operations, Graphics)
  • Chapter 3: Programming with MATLAB (M-files, Loops, Conditionals, Functions)
  • Chapter 4: Roundoff and Truncation Errors
    الجامعة المستنصرية +1
Part 2: Roots of Equations
  • Chapter 5: Roots: Bracketing Methods (Graphical, Bisection, and False-Position Methods)
  • Chapter 6: Roots: Open Methods (Fixed-Point Iteration, Newton-Raphson, and Secant Methods)
  • Chapter 7: Optimization (One-Dimensional Unconstrained Optimization and Multidimensional Optimization)
    الجامعة المستنصرية
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')
Part 3: Linear Algebraic Equations
  • Chapter 8: Linear Algebraic Equations and Matrices (Gauss Elimination)
  • Chapter 9: Matrix Factorization and Iterative Methods (
    LUcap L cap U
    Decomposition, Gauss-Seidel)
  • Chapter 10: Matrix Inverse and Condition
  • Chapter 11: Iterative Methods (Eigenvalues and Eigenvectors)
Part 4: Curve Fitting
  • Chapter 12: Linear Regression (Least-Squares Regression)
  • Chapter 13: General Linear Least Squares and Nonlinear Regression
  • Chapter 14: Polynomial Interpolation (Newton and Lagrange Polynomials)
  • Chapter 15: Splines and Piecewise Interpolation
Part 5: Integration and Differentiation
  • Chapter 16: Numerical Integration Formulas (Trapezoidal Rule, Simpson’s Rules)
  • Chapter 17: Numerical Integration of Functions (Romberg Integration, Gauss Quadrature)
  • Chapter 18: Numerical Differentiation (High-Accuracy Formulas, Richardson Extrapolation)
Part 6: Differential Equations
  • Chapter 19: Initial-Value Problems (Euler’s Method, Runge-Kutta Methods)
  • Chapter 20: Adaptive Methods and Stiff Systems
  • Chapter 21: Boundary-Value and Eigenvalue Problems
  • Chapter 22: Partial Differential Equations (Elliptic and Parabolic PDEs)
  • Chapter 23: Numerical Methods for Engineering Applications
  • Chapter 24: Case Studies in Numerical Methods

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