Eihab B. M. Bashier
March 15, 2020 Forthcoming
Reference - 352 Pages - 56 B/W Illustrations
ISBN 9780367076696 - CAT# K405798
For Instructors Request Inspection Copy
This book concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors.
The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear programming problems, and optimal control problems.
This book has the following advantages:
This book is aimed at newcomers and middle-level students, as well as members of the scientific community who are interested in solving math problems using MATLAB or Python.
Solving Linear Systems. Ill-conditioning and Regularization Techniques in solutions of linear systems. Solving a system of nonlinear equations. Solving the Eigenvalue Problem. Data Interpolation. Numerical Differentiation and Integration. Solving Systems of Linear Ordinary Differential Equations. Solving Systems of Nonlinear Ordinary Differential Equations. Non-standard Finite Difference Methods for Solving ODEs. Solving Optimization Problems: Linear Programming. Solving Optimization Problems: Nonlinear Programming. Solving Dynamical Optimization Problems