000			02308nam a22004815i 4500
001			u375714
003			SIRSI
005			20160812084337.0
007			cr nn 008mamaa
008			110524s2011 gw | s |||| 0|eng d
020			_a9783642183515 _9978-3-642-18351-5
040			_cMX-MeUAM
050		4	_aHD30.23
082	0	4	_a658.40301 _223
100	1		_aLöhne, Andreas. _eauthor.
245	1	0	_aVector Optimization with Infimum and Supremum _h[recurso electrónico] / _cby Andreas Löhne.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aX, 206 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aVector Optimization, _x1867-8971
520			_aThe theory of Vector Optimization is developed by a systematic usage of infimum and supremum. In order to get existence and appropriate properties of the infimum, the image space of the vector optimization problem is embedded into a larger space, which is a subset of the power set, in fact, the space of self-infimal sets. Based on this idea we establish solution concepts, existence and duality results and algorithms for the linear case. The main advantage of this approach is the high degree of analogy to corresponding results of Scalar Optimization. The concepts and results are used to explain and to improve practically relevant algorithms for linear vector optimization problems.
650		0	_aEconomics.
650		0	_aAlgebra.
650		0	_aAlgorithms.
650		0	_aMathematical optimization.
650	1	4	_aEconomics/Management Science.
650	2	4	_aOperations Research/Decision Theory.
650	2	4	_aOptimization.
650	2	4	_aOrder, Lattices, Ordered Algebraic Structures.
650	2	4	_aOperations Research, Management Science.
650	2	4	_aAlgorithms.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642183508
830		0	_aVector Optimization, _x1867-8971
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-18351-5
596			_a19
942			_cLIBRO_ELEC
999			_c203594 _d203594