000			01843aam a2200277 4500
020			_a9781493937110
082			_a519.863 _bNOC/N
100			_aNocedal, Jorge
245			_aNumerical optimization
250			_a2nd ed.
260			_bSpringer Science+Business Media LLC _c2006 _aNew York
300			_axxii, 664 p.
490			_aSpringer series in operations research
504			_aIncludes bibliography and index (p. 435-464)
520			_aNumerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.
650			_aMathematical optimization
650			_aLinear programming
650			_aOperations research
650			_aSystem theory
650			_aCalculus of variations
650			_aComputer science - Mathematics
650			_aDecision making
650			_aMathematics
700			_aWright Stephen J.
942			_cBK
999			_c2810 _d2810