| 000 | 03197nam a22004935i 4500 | ||
|---|---|---|---|
| 001 | 978-0-387-76635-5 | ||
| 003 | DE-He213 | ||
| 005 | 20250710084025.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110402s2008 xxu| s |||| 0|eng d | ||
| 020 |
_a9780387766355 _a99780387766355 |
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| 024 | 7 |
_a10.1007/978-0-387-76635-5 _2doi |
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| 100 | 1 |
_aDiwekar, Urmila. _eauthor. |
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| 245 | 1 | 0 |
_aIntroduction to Applied Optimization _h[recurso electrónico] / _cby Urmila Diwekar. |
| 264 | 1 |
_aBoston, MA : _bSpringer US, _c2008. |
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| 300 |
_aXXVI, 292p. 100 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_arecurso en línea _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringer Optimization and Its Applications, _x1931-6828 ; _v22 |
|
| 505 | 0 | _aLinear Programming -- Nonlinear Programming -- Discrete Optimization -- Optimization Under Uncertainty -- Multiobjective Optimization -- Optimal Control and Dynamic Optimization. | |
| 520 | _aThis text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Key Features: Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control; Includes an extensive bibliography at the end of each chapter and an index; GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to http://www.springer.com/math/book/978-0-387-76634-8; Solutions manual available upon adoptions. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers. | ||
| 650 | 0 | _aMATHEMATICS. | |
| 650 | 0 | _aCHEMICAL ENGINEERING. | |
| 650 | 0 | _aSYSTEMS THEORY. | |
| 650 | 0 | _aMATHEMATICAL OPTIMIZATION. | |
| 650 | 0 | _aENGINEERING MATHEMATICS. | |
| 650 | 0 | _aECONOMICS. | |
| 650 | 1 | 4 | _aMATHEMATICS. |
| 650 | 2 | 4 | _aCALCULUS OF VARIATIONS AND OPTIMAL CONTROL; OPTIMIZATION. |
| 650 | 2 | 4 | _aINDUSTRIAL CHEMISTRY/CHEMICAL ENGINEERING. |
| 650 | 2 | 4 | _aAPPL.MATHEMATICS/COMPUTATIONAL METHODS OF ENGINEERING. |
| 650 | 2 | 4 | _aSYSTEMS THEORY, CONTROL. |
| 650 | 2 | 4 | _aBUSINESS/MANAGEMENT SCIENCE, GENERAL. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9780387766348 |
| 830 | 0 |
_aSpringer Optimization and Its Applications, _x1931-6828 ; _v22 |
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| 856 | 4 | 0 |
_uhttp://dx.doi.org/10.1007/978-0-387-76635-5 _zVer el texto completo en las instalaciones del CICY |
| 912 | _aZDB-2-SMA | ||
| 942 |
_2ddc _cER |
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| 999 |
_c58816 _d58816 |
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