000 | 04059nam a22006135i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-0-387-40065-5 _2doi |
|
050 | 4 | _aQA402.5-402.6 | |
072 | 7 |
_aPBU _2bicssc |
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072 | 7 |
_aMAT003000 _2bisacsh |
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072 | 7 |
_aPBU _2thema |
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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. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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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 |
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650 | 0 |
_aCalculus of variations. _917382 |
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650 | 0 |
_aSystem theory. _93409 |
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650 | 0 |
_aControl theory. _93950 |
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650 | 0 |
_aMathematics—Data processing. _931594 |
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650 | 0 |
_aOperations research. _912218 |
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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 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-0-387-40065-5 |
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