000			03602nam a22005175i 4500
001			u371676
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005			20160812080141.0
007			cr nn 008mamaa
008			110714s2011 xxu| s |||| 0|eng d
020			_a9781441964915 _9978-1-4419-6491-5
040			_cMX-MeUAM
050		4	_aHD30.23
082	0	4	_a658.40301 _223
100	1		_aDenardo, Eric V. _eauthor.
245	1	0	_aLinear Programming and Generalizations _h[recurso electrónico] : _bA Problem-based Introduction with Spreadsheets / _cby Eric V. Denardo.
264		1	_aBoston, MA : _bSpringer US : _bImprint: Springer, _c2011.
300			_aX, 673p. 145 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v149
505	0		_aChapter 1. Introduction to Linear Programs -- Chapter 2. Spreadsheet Computation -- Chapter 3. Mathematical Preliminaries -- Chapter 4. The Simplex Method, Part 1 -- Chapter 5. Analyzing Linear Programs -- Chapter 6. The Simplex Method, Part 2 -- Chapter 7. A Survey of Optimization Problems -- Chapter 8. Path-Length Problems and Dynamic Programming -- Chapter 9. Flows in Networks -- Chapter 10. Vector Spaces and Linear Programs -- Chapter 11. Multipliers and the Simplex Method -- Chapter 12. Duality -- Chapter 13. The Dual Simplex Pivot and Its Uses -- Chapter 14. Introduction to Game Theory -- Chapter 15. The Bi-Matrix Game -- Chapter 16. Fixed Points and Equilibria -- Chapter 17. Convex Sets -- Chapter 18. Differentiation -- Chapter 19. Convex Functions -- Chapter 20 -- Nonlinear Programs.
520			_aThis book on constrained optimization is novel in that it fuses these themes: • use examples to introduce general ideas; • engage the student in spreadsheet computation; • survey the uses of constrained optimization;. • investigate game theory and nonlinear optimization, • link the subject to economic reasoning, and • present the requisite mathematics. Blending these themes makes constrained optimization more accessible and more valuable. It stimulates the student’s interest, quickens the learning process, reveals connections to several academic and professional fields, and deepens the student’s grasp of the relevant mathematics. The book is designed for use in courses that focus on the applications of constrained optimization, in courses that emphasize the theory, and in courses that link the subject to economics.
650		0	_aEconomics.
650		0	_aMathematical optimization.
650		0	_aIndustrial engineering.
650		0	_aEngineering economy.
650		0	_aOperations research.
650	1	4	_aEconomics/Management Science.
650	2	4	_aOperation Research/Decision Theory.
650	2	4	_aOperations Research, Management Science.
650	2	4	_aMathematical Modeling and Industrial Mathematics.
650	2	4	_aOptimization.
650	2	4	_aEngineering Economics, Organization, Logistics, Marketing.
650	2	4	_aIndustrial and Production Engineering.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441964908
830		0	_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v149
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-6491-5
596			_a19
942			_cLIBRO_ELEC
999			_c199556 _d199556