Applied Optimization with MATLAB Programming, 2/e (Hardcover)
內容描述
Description Over
the last few decades, optimization techniques have been streamlined by the use
of computers and artificial intelligence methods to analyze more 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 the standard mathematical engine, MATLAB. As with
the first edition, the author uses MATLAB in examples for running computer-based
optimization problems. New coverage in this edition includes design optimization
techniques such as Multidisciplinary Optimization, Explicit Solution for
Boundary Value Problems, and Particle Swarm Optimization. Table of ContentsChapter 1:
Introduction. Chapter 2: Graphical Optimization. Chapter 3: Linear
Programming. Chapter 4: Nonlinear Programming. Chapter 5: Numerical
Techniques - The One Dimensional Problem. Chapter 6: Numerical Techniques
for Unconstrained Optimization. Chapter 7: Numerical Techniques for
Constrained Optimization. Chapter 8: Discrete Optimization. Chapter 9:
Global Optimization. Chapter 10: Optimization Toolbox from MATLAB.
Chapter 11: Hybrid Mathematics: An Application of.
