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001			310095
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2005 sz | o |||| 0|eng d
020			_a9783764373092 _99783764373092
024	7		_a10.1007/b137080 _2doi
035			_avtls000362684
039		9	_a201509031114 _bVLOAD _c201405070505 _dVLOAD _y201402211055 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA312-312.5
100	1		_aAmbrosio, Luigi. _eautor _9334143
245	1	0	_aGradient Flows : _bin Metric Spaces and in the Space of Probability Measures / _cby Luigi Ambrosio, Nicola Gigli, Giuseppe Savaré.
264		1	_aBasel : _bBirkhäuser Basel, _c2005.
300			_avii, 333 páginas _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		_aLectures in Mathematics ETH Zürich
500			_aSpringer eBooks
505	0		_aGradient Flow in Metric Spaces -- Curves and Gradients in Metric Spaces -- Existence of Curves of Maximal Slope and their Variational Approximation -- Proofs of the Convergence Theorems -- Uniqueness, Generation of Contraction Semigroups, Error Estimates -- Notation -- Gradient Flow in the Space of Probability Measures -- Preliminary Results on Measure Theory -- The Optimal Transportation Problem -- The Wasserstein Distance and its Behaviour along Geodesics -- Absolutely Continuous Curves in Pp(X) and the Continuity Equation -- Convex Functionals in Pp(X) -- Metric Slope and Subdifferential Calculus in Pp(X) -- Gradient Flows and Curves of Maximal Slope in Pp(X).
520			_aThis book is devoted to a theory of gradient flows in spaces which are not necessarily endowed with a natural linear or differentiable structure. It consists of two parts, the first one concerning gradient flows in metric spaces and the second one devoted to gradient flows in the space of probability measures on a separable Hilbert space, endowed with the Kantorovich-Rubinstein-Wasserstein distance. The two parts have some connections, due to the fact that the space of probability measures provides an important model to which the "metric" theory applies, but the book is conceived in such a way that the two parts can be read independently, the first one by the reader more interested in non-smooth analysis and analysis in metric spaces, and the second one by the reader more orientated towards the applications in partial differential equations, measure theory and probability.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aGigli, Nicola. _eautor _9350278
700	1		_aSavaré, Giuseppe. _eautor _9350279
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783764324285
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b137080 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c310095 _d310095