MATLAB 6.1 Practical Guide (Volume 2)

Author: Su Jinming Ruan Shenyong (editors)
Publisher:
Publish Date: 2002-01-01
Features: This volume is a reference book that comprehensively introduces the contents and usage of toolboxes such as Statistics, Optimization, Splines, and Numerical Solutions of Partial Differential Equations through numerous examples. The Statistics Toolbox not only covers probability distributions (including density functions, cumulative functions, parameter estimation, inverse cumulative functions, statistics, and random number generation for several distributions), analysis of variance, hypothesis testing, regression analysis, discriminant analysis, principal component analysis, experimental design, statistical process control, and dozens of common statistical plots, but also includes advanced topics like multi-factor analysis of variance and multivariate analysis of variance, which are features of MATLAB 6.1. The Optimization Toolbox not only covers common topics such as linear programming, quadratic programming, nonlinear programming, multi-objective programming, maximization and minimization, semi-infinite problems, and least squares problems, but also introduces methods for solving large-scale optimization problems in engineering. The accompanying CD-ROM includes summaries of relevant functions, an English-Chinese glossary, and M-files for application examples of each toolbox, helping readers to more conveniently.