MATLAB numerical computation

Author: Moler
Publisher:
Publish Date: 2006-06-01
Features: This book is an excellent textbook on numerical methods, MATLAB, and engineering computing. Its presentation style is particularly helpful for readers to fully learn and correctly use mathematical functions in MATLAB, understand their limitations, and make appropriate modifications. The book uses a large number of computer graphics and also includes interactive graphical demonstrations of numerical algorithms. It provides over 70 M-files, which readers can download from the website www.mathworks.com/moler (or from the China Machine Press website). Additionally, more than 200 exercises in the book involve modifying and expanding these programs. This book is a textbook on numerical methods, MATLAB software, and engineering computing, focusing on the proficient use of mathematical software and its highly efficient internal algorithms. The main contents include: MATLAB introduction, systems of linear equations, interpolation, root finding, least squares, numerical integration, ordinary differential equations, Fourier analysis, random numbers, eigenvalues and singular values, partial differential equations. The book is equipped with numerous MATLAB example source codes and exercises, covering cutting-edge topics such as cryptography, Google page ranking, atmospheric science, and image processing, which can help readers quickly master the correct use of mathematical functions and MATLAB programming skills. This book is suitable as a textbook for senior undergraduate or graduate students, and can also be referenced by relevant researchers.
This book is a textbook on numerical methods, MATLAB software, and engineering computing, focusing on the proficient use of mathematical software and its highly efficient internal algorithms. The main contents include: MATLAB introduction, systems of linear equations, interpolation, root finding, least squares, numerical integration, ordinary differential equations, Fourier analysis, random numbers, eigenvalues and singular values, partial differential equations. The book is equipped with numerous MATLAB example source codes and exercises, covering cutting-edge topics such as cryptography, Google page ranking, atmospheric science, and image processing, which can help readers quickly master the correct use of mathematical functions and MATLAB programming skills. This book is suitable as a textbook for senior undergraduate or graduate students, and can also be referenced by relevant researchers.