An Invitation to Optimal Transport, Wasserstein Distances, and Gradient Flows

An Invitation to Optimal Transport, Wasserstein Distances, and Gradient Flows
Author: Alessio Figalli
Publisher: European Mathematical Society
Total Pages: 0
Release: 2023-05-15
Genre: Mathematics
ISBN: 3985470502


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This book provides a self-contained introduction to optimal transport, and it is intended as a starting point for any researcher who wants to enter into this beautiful subject. The presentation focuses on the essential topics of the theory: Kantorovich duality, existence and uniqueness of optimal transport maps, Wasserstein distances, the JKO scheme, Otto's calculus, and Wasserstein gradient flows. At the end, a presentation of some selected applications of optimal transport is given. Suitable for a course at the graduate level, the book also includes an appendix with a series of exercises along with their solutions. The second edition contains a number of additions, such as a new section on the Brunn–Minkowski inequality, new exercises, and various corrections throughout the text.


An Invitation to Optimal Transport, Wasserstein Distances, and Gradient Flows
Language: en
Pages: 0
Authors: Alessio Figalli
Categories: Mathematics
Type: BOOK - Published: 2023-05-15 - Publisher: European Mathematical Society

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This book provides a self-contained introduction to optimal transport, and it is intended as a starting point for any researcher who wants to enter into this be
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Type: BOOK - Published: 2008-10-29 - Publisher: Springer Science & Business Media

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The book is devoted to the theory of gradient flows in the general framework of metric spaces, and in the more specific setting of the space of probability meas
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Type: BOOK - Published: 2020-03-10 - Publisher: Springer Nature

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This open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures when endowed with the g
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Authors: Luigi Ambrosio
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Type: BOOK - Published: 2021-07-22 - Publisher: Springer Nature

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This textbook is addressed to PhD or senior undergraduate students in mathematics, with interests in analysis, calculus of variations, probability and optimal t