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001			287122
003			MX-SnUAN
005			20160429154530.0
007			cr nn 008mamaa
008			150903s2013 xxk| o |||| 0|eng d
020			_a9781447142850 _99781447142850
024	7		_a10.1007/9781447142850 _2doi
035			_avtls000339773
039		9	_a201509030840 _bVLOAD _c201404300405 _dVLOAD _y201402060943 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ212-225
100	1		_aBhatnagar, S. _eautor _9316160
245	1	0	_aStochastic Recursive Algorithms for Optimization : _bSimultaneous Perturbation Methods / _cby S. Bhatnagar, H.L. Prasad, L.A. Prashanth.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2013.
300			_axviii, 302 páginas 12 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v434
500			_aSpringer eBooks
505	0		_aPart I: Introduction to Stochastic Recursive Algorithms -- Introduction -- Deterministic Algorithms for Local Search -- Stochastic Approximation Algorithms -- Part II: Gradient Estimation Schemes -- Kiefer-Wolfowitz Algorithm -- Gradient Schemes with Simultaneous Perturbation Stochastic Approximation -- Smoothed Functional Gradient Schemes -- Part III: Hessian Estimation Schemes -- Hessian Estimation with Simultaneous Perturbation Stochasti Approximation -- Smoothed Functional Hessian Schemes -- Part IV: Variations to the Basic Scheme -- Discrete Optimization -- Algorithms for Contrained Optimization -- Reinforcement Learning -- Part V: Applications -- Service Systems -- Road Traffic Control -- Communication Networks.
520			_aStochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the algorithms considered. Simultaneous perturbation stochastic approximation and smooth fractional estimators for gradient- and Hessian-based methods are presented. These algorithms: • are easily implemented; • do not require an explicit system model; and • work with real or simulated data. Chapters on their application in service systems, vehicular traffic control and communications networks illustrate this point. The book is self-contained with necessary mathematical results placed in an appendix. The text provides easy-to-use, off-the-shelf algorithms that are given detailed mathematical treatment so the material presented will be of significant interest to practitioners, academic researchers and graduate students alike. The breadth of applications makes the book appropriate for reader from similarly diverse backgrounds: workers in relevant areas of computer science, control engineering, management science, applied mathematics, industrial engineering and operations research will find the content of value.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aPrasad, H.L. _eautor _9316161
700	1		_aPrashanth, L.A. _eautor _9316162
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781447142843
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-4285-0 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c287122 _d287122