5th edition. — McGraw-Hill, 2023. — 758 p. — ISBN 978-1-265-14822-5.
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.
Modeling, Computers, and Error AnalysisMathematical Modeling, Numerical Methods, and Problem Solving
MatLAB Fundamentals
Programming with MatLAB
Roundoff and Truncation Errors
Roots and OptimizationRoots: Bracketing Methods
Roots: Open Methods
Optimization
Linear SystemsLinear Algebraic Equations and Matrices
Gauss Elimination
LU Factorization
Matrix Inverse and Condition
Iterative Methods
Eigenvalues
Curve FittingLinear Regression
General Linear Least-Squares and Nonlinear Regression
Fourier Analysis
Polynomial Interpolation
Splines and Piecewise Interpolation
Integration and DifferentiationNumerical Integration Formulas
Numerical Integration of Functions
Numerical Differentiation
Ordinary Differential EquationsInitial-Value Problems
Adaptive Methods and Stiff Systems
Boundary-Value Problems