By consistently and primary care is accessible from all topics, An Introduction to Optimization, Second Edition helps students build a solid knowledge of the field, including optimization is not limited to, linear programming, and optimization is limited. Equipped with more than one hundred tables and illustrations, an extensive bibliography, and many worked examples to illustrate the theories and algorithms, this book also provides: * A review of mathematical background material necessary * A mathematical discussion on the level accessible to MBA and business students * A good treatment of linear and nonlinear program * An introduction to recent developments, including artificial neural networks, genetic algorithms, and interior-point method * A chapter on the use of descent algorithms for training feedforward neural networks * Exercise problems after each chapter, this new edition much * MATLAB (r) exercises and examples * Accompanying Instructor's Solutions Manual is available on request An Introduction to Optimization, Second Edition helps students prepare for advanced topics and technological developments that lie ahead.