Product Description
The term "optimization" is used in describing a large number of numerical methods used to test the variables in a given process in order to identify the best method of process. The process of optimization lies at the root of engineering since the classical function of the engineer is to design new, more efficient, and less expensive systems as well as to devise plans and procedures to improve existing systems.
In recent years optimization techniques have been streamlined by the use of computers and artificial intelligence methods which can analyze a larger number of variables (especially under non-linear, multivariable conditions) more quickly than ever before. This book covers all classical linear and nonlinear optimization techniques while focusing on what has become the industry standard of mathematical engines, MATLAB. The author uses MATLAB as the tool in examples for running computer-based optimization problems at both the student level and beyond. This is classic coverage of optimization methods with a focus on modeling and the illustration of the numerical techniques via MATLAB.
From the Back Cover
A new approach to learning classical optimization methodsnumerical techniques modeled and illustrated via MATLAB
This unique and timely volume combines a formal presentation of classical methods of design optimization with detailed instruction in the application of these methods using MATLAB. It introduces readers to the symbolic, numerical, and graphic features of MATLAB and integrates this powerful combination in the translation of many algorithms into applied optimization techniques with animation.
Applied Optimization with MATLAB® Programming develops all necessary mathematical concepts, illustrates abstract mathematical ideas of optimization using MATLABs rich graphics features, and introduces new programming skills incrementally as optimization concepts are presented. This valuable learning tool:
- Focuses on real-world optimization techniques
- Covers all areas of optimization, including linear, nonlinear, discrete, and global
- Includes creative examples from many disciplines
- Presents a number of practical, open-ended design problems
- Features an accompanying Web site with MATLAB code for all the numerical techniques and examples in the book
This one-of-a-kind resource enables senior-undergraduate and graduate students in engineering and other design disciplines to develop practical programming skills as they master the concepts of optimization. It is also an excellent self-teaching guide for design engineers in all fields of endeavor.