000			02007nam a2200325| 4500
001			82528
005			20191216134841.0
010			_a978-0-387-27622-9 _dcompra
090			_a82528
100			_a20190128d2006 k||y0pory50 ba
101			_aeng
102			_aUS
200			_aCooperative stochastic differential games _bDocumento eletrn̤ico _fDavid W. K. Yeung, Leon A. Petrosyan
210			_aNew York, NY _cSpringer _d2006
215			_aXIII, 242 p.
225			_aSpringer Series in Operations Research and Financial Engineering
300			_aColocaȯ̂: Online
303			_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.
410			_x1431-8598
606			_938767 _aJogos diferenciais
606			_93992 _aProcessos estocs̀ticos
680			_aQA272
700			_aYeung _bDavid W. K. _931930
701			_aPetrosyan _bLeon A. _4070 _931931
801			_gRPC _aPT
856			_uhttps://doi.org/10.1007/0-387-27622-X
942			_2lcc _cF _n0