000			03186nam a22004095i 4500
001			309819
003			MX-SnUAN
005			20160429160325.0
007			cr nn 008mamaa
008			150903s2008 sz | o |||| 0|eng d
020			_a9783764387228 _99783764387228
024	7		_a10.1007/9783764387228 _2doi
035			_avtls000362956
039		9	_a201509030650 _bVLOAD _c201405070336 _dVLOAD _y201402211136 _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.
250			_aSecond Edition.
264		1	_aBasel : _bBirkhäuser Basel, _c2008.
300			_aIx, 334 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		_aNotation -- Notation -- Gradient 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 -- 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 p(X) and the Continuity Equation -- Convex Functionals in p(X) -- Metric Slope and Subdifferential Calculus in (X) -- Gradient Flows and Curves of Maximal Slope in p(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: _z9783764387211
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-7643-8722-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c309819 _d309819