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[null,"1.","Record Nr.",null,"UNINA9910453423003321"]
[null,null,"Autore",null,"Ambrosio Luigi"]
[null,null,"Titolo",null,"Gradient flows [[electronic resource] ] : in metric spaces and in the space of probability measures / / Luigi Ambrosio, Nicola Gigli, Giuseppe Savaré"]
[null,null,"Pubbl/distr/stampa",null,"Basel, : Birkhäuser, 2008"]
[null,null,"ISBN",null,"1-281-85136-1"]
[{"$nulls":4},"9786611851361"]
[{"$nulls":4},"3-7643-8722-X"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (339 p.)"]
[null,null,"Collana",null,"Lectures in mathematics ETH Zürich"]
[null,null,"Disciplina",null,"515.42"]
[null,null,"Soggetti",null,"Measure theory"]
[{"$nulls":4},"Metric spaces"]
[{"$nulls":4},"Differential equations, Parabolic"]
[{"$nulls":4},"Monotone operators"]
[{"$nulls":4},"Evolution equations, Nonlinear"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Previous ed.: 2005."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Notation -- 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)."]
[null,null,null,"Sommario/riassunto","Devoted to a theory of gradient flows in spaces which are not necessarily endowed with a natural linear or differentiable structure, this book focuses on gradient flows in metric spaces. It covers gradient flows in the space of probability measures on a separable Hilbert space, endowed with the Kantorovich-Rubinstein-Wasserstein distance."]