000			nam a22 4500
999			_c33013 _d33013
008			240407b xxu||||| |||| 00| 0 eng d
020			_a9781119877639
082			_a519.6 _bCHO
100			_aChong, Edwin K.P
245			_aAn introduction to optimization , With applications to machine learning
250			_a5th ed.
260			_bWiley, _c2024 _aNew Jersey :
300			_axviii, 651 p. ; _bill., _c26 cm
365			_b131.95 _c$ _d86.30
504			_aIncludes bibliographical references and index.
520			_aOptimization is central to any problem involving decision making in many disciplines, such as engineering, mathematics, statistics, economics, and computer science. Now, more than ever, it is increasingly vital to have a firm grasp of the topic due to the rapid progress in computer technology, including the development and availability of user-friendly software, high-speed and parallel processors, and networks. Fully updated to reflect modern developments in the field, An Introduction to Optimization, Third Edition fills the need for an accessible, yet rigorous, introduction to optimization theory and methods." "The book begins with a review of basic definitions and notations and also provides the related fundamental background of linear algebra, geometry, and calculus. With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. An optimization perspective on global search methods is featured and includes discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm. In addition, the book includes an elementary introduction to artificial neural networks, convex optimization, and multi-objective optimization, all of which are of tremendous interest to students, researchers, and practitioners.
650			_aMathematical optimization
650			_aSimplex algorithm
650			_aSteepest descent
650			_aSecant method
650			_aQuadratic function
650			_aOptimization problem
650			_aObjective function
650			_aNewton's method
650			_aLinear programming
650			_aGenetic algorithm
650			_aConvex function
650			_aChromosomes
650			_aBasic feasible solution
650			_aAugmented matrix
650			_aAlgorithms
650			_aLinear Programming
700			_aZak, Stanislaw H
700			_aLu, Sheng Wu
942			_2ddc _cBK