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