An Introduction to Optimization
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Beschreibung
Praise for the Third Edition ". . . guides and leads thereader through the learning path . . . [e]xamples are stated veryclearly and the results are presented with attention todetail." --MAA Reviews
Fully updated to reflect new developments in the field, theFourth Edition of Introduction to Optimization fillsthe need for accessible treatment of optimization theory andmethods with an emphasis on engineering design. Basic definitionsand notations are provided in addition to the related fundamentalbackground for linear algebra, geometry, and calculus.
This new edition explores the essential topics of unconstrainedoptimization problems, linear programming problems, and nonlinearconstrained optimization. The authors also present an optimizationperspective on global search methods and include discussions ongenetic algorithms, particle swarm optimization, and the simulatedannealing algorithm. Featuring an elementary introduction toartificial neural networks, convex optimization, andmulti-objective optimization, the Fourth Edition alsooffers:
* A new chapter on integer programming
* Expanded coverage of one-dimensional methods
* Updated and expanded sections on linear matrix inequalities
* Numerous new exercises at the end of each chapter
* MATLAB exercises and drill problems to reinforce the discussedtheory and algorithms
* Numerous diagrams and figures that complement the writtenpresentation of key concepts
* MATLAB M-files for implementation of the discussed theory andalgorithms (available via the book's website)
Introduction to Optimization, Fourth Edition is an idealtextbook for courses on optimization theory and methods. Inaddition, the book is a useful reference for professionals inmathematics, operations research, electrical engineering,economics, statistics, and business.
Autor*in
Edwin K. P. Chong
Themen in »An Introduction to Optimization«
Betriebswirtschaft u. Operationsforschung Business & Management Electrical & Electronics Engineering Elektrotechnik u. Elektronik Management Science/Operational Research Mathematics Mathematik Numerical Methods & Algorithms Numerische Methoden u. Algorithmen Optimierung Optimization Wirtschaft u. Management