000			04110nam a22005055i 4500
001			978-0-387-38274-6
003			DE-He213
005			20250710083958.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387382746 _a99780387382746
024	7		_a10.1007/978-0-387-38274-6 _2doi
082	0	4	_a519.6 _223
100	1		_aHooker, John N. _eauthor.
245	1	0	_aIntegrated Methods for Optimization _h[recurso electrónico] / _cby John N. Hooker.
264		1	_aBoston, MA : _bSpringer US, _c2007.
300			_aXIV, 486 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v100
505	0		_aPreface -- Introduction -- Search -- The solution process -- Branching search -- Constraint-directed search -- Local search -- Bibliographic notes -- Inference -- Completeness -- Inference duality -- Linear inequalities -- General inequality constraints -- Propositional logic -- 0-1 linear inequalities -- Integer linear inequalities -- The element constraint -- The all-different constraint -- The cardinality and Nvalues constraints -- The circuit constraint -- The stretch constraint -- Disjunctive scheduling -- Cumulative scheduling -- Bibliographic notes -- Relaxation -- Relaxation duality -- Linear inequalities -- Semicontinuous piecewise linear functions -- 0-1 linear inequalities -- Integer linear inequalities -- Lagrangean and surrogate relaxations -- Disjunctions of linear systems -- Disjunctions of nonlinear systems -- MILP modeling -- Propositional Logic -- The element constraint -- The all-different constraint -- The cardinality constraint -- The circuit constraint -- Disjunctive scheduling -- Cumulative scheduling -- Bibliographic notes -- Dictionary of constraints -- References -- Index.
520			_aIntegrated Methods for Optimization integrates the key concepts of Mathematical Programming and Constraint Programming into a unified framework that allows them to be generalized and combined. The unification of MP and CP creates optimization methods that have much greater modeling power, increased computational speed, and a sizeable reduction computational coding. Hence the benefits of this integration are substantial, providing the Applied Sciences with a powerful, high-level modeling solution for optimization problems. As reviewers of the book have noted, this integration along with constraint programming being incorporated into a number of programming languages, brings the field a step closer to being able to simply state a problem and having the computer solve it. John Hooker is a leading researcher in both the Optimization and Constraint Programming research communities. He has been an instrumental principal for this integration, and over the years, he has given numerous presentations and tutorials on the integration of these two areas. It is felt by many in the field that the future Optimization courses will increasingly be taught from this integrated framework.
650		0	_aMATHEMATICS.
650		0	_aCOMPUTER SCIENCE.
650		0	_aELECTRONIC DATA PROCESSING.
650		0	_aMATHEMATICAL OPTIMIZATION.
650		0	_aECONOMICS.
650	1	4	_aMATHEMATICS.
650	2	4	_aOPTIMIZATION.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
650	2	4	_aCOMPUTING METHODOLOGIES.
650	2	4	_aMATHEMATICS OF COMPUTING.
650	2	4	_aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
650	2	4	_aBUSINESS/MANAGEMENT SCIENCE, GENERAL.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387382722
830		0	_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v100
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-38274-6 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c57586 _d57586