000 04059nam a22006135i 4500
001 978-0-387-40065-5
003 DE-He213
005 20220801140033.0
007 cr nn 008mamaa
008 100301s2006 xxu| s |||| 0|eng d
020 _a9780387400655
_9978-0-387-40065-5
024 7 _a10.1007/978-0-387-40065-5
_2doi
050 4 _aQA402.5-402.6
072 7 _aPBU
_2bicssc
072 7 _aMAT003000
_2bisacsh
072 7 _aPBU
_2thema
082 0 4 _a519.6
_223
100 1 _aNocedal, Jorge.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_931593
245 1 0 _aNumerical Optimization
_h[electronic resource] /
_cby Jorge Nocedal, Stephen Wright.
250 _a2nd ed. 2006.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2006.
300 _aXXII, 664 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Operations Research and Financial Engineering,
_x2197-1773
505 0 _aFundamentals of Unconstrained Optimization -- Line Search Methods -- Trust-Region Methods -- Conjugate Gradient Methods -- Quasi-Newton Methods -- Large-Scale Unconstrained Optimization -- Calculating Derivatives -- Derivative-Free Optimization -- Least-Squares Problems -- Nonlinear Equations -- Theory of Constrained Optimization -- Linear Programming: The Simplex Method -- Linear Programming: Interior-Point Methods -- Fundamentals of Algorithms for Nonlinear Constrained Optimization -- Quadratic Programming -- Penalty and Augmented Lagrangian Methods -- Sequential Quadratic Programming -- Interior-Point Methods for Nonlinear Programming.
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 0 _aMathematical optimization.
_94112
650 0 _aCalculus of variations.
_917382
650 0 _aSystem theory.
_93409
650 0 _aControl theory.
_93950
650 0 _aMathematics—Data processing.
_931594
650 0 _aOperations research.
_912218
650 1 4 _aOptimization.
_931595
650 2 4 _aCalculus of Variations and Optimization.
_931596
650 2 4 _aSystems Theory, Control .
_931597
650 2 4 _aComputational Mathematics and Numerical Analysis.
_931598
650 2 4 _aOperations Research and Decision Theory.
_931599
700 1 _aWright, Stephen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_931600
710 2 _aSpringerLink (Online service)
_931601
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9780387510880
776 0 8 _iPrinted edition:
_z9780387303031
776 0 8 _iPrinted edition:
_z9781493937110
830 0 _aSpringer Series in Operations Research and Financial Engineering,
_x2197-1773
_931602
856 4 0 _uhttps://doi.org/10.1007/978-0-387-40065-5
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912 _aZDB-2-SXMS
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