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.The intervening years between the first and the second edition of the book have seen an explosion in application of ... of products, allotment of resources, search for innovative solutions, and development of efficient process and planning. The optimization methods have migrated beyond engineering practice through a synergistic development of a ... The astonishing power and speed of personal computation today allows all designers to embed optimization ideas in their practice.
|Title||:||Applied Optimization with MATLAB Programming|
|Publisher||:||John Wiley & Sons - 2009-03-23|