Optimal Transport for Applied Mathematicians: Calculus of Variations, PDEs, and ModelingBirkhäuser, 17 oct. 2015 - 353 pages This monograph presents a rigorous mathematical introduction to optimal transport as a variational problem, its use in modeling various phenomena, and its connections with partial differential equations. Its main goal is to provide the reader with the techniques necessary to understand the current research in optimal transport and the tools which are most useful for its applications. Full proofs are used to illustrate mathematical concepts and each chapter includes a section that discusses applications of optimal transport to various areas, such as economics, finance, potential games, image processing and fluid dynamics. Several topics are covered that have never been previously in books on this subject, such as the Knothe transport, the properties of functionals on measures, the Dacorogna-Moser flow, the formulation through minimal flows with prescribed divergence formulation, the case of the supremal cost, and the most classical numerical methods. Graduate students and researchers in both pure and applied mathematics interested in the problems and applications of optimal transport will find this to be an invaluable resource. |
À l'intérieur du livre
Résultats 1-5 sur 88
Page xi
... transport map built with 1D bricks, and its degenerate optimality is discussed. The main notion here is that of monotone transport. In the discussion section, 1D and monotone maps are used for applications in mathematics (isoperimetric ...
... transport map built with 1D bricks, and its degenerate optimality is discussed. The main notion here is that of monotone transport. In the discussion section, 1D and monotone maps are used for applications in mathematics (isoperimetric ...
Page xiv
... map T describes the movement (that we must choose in an optimal way), and T.x/ represents the destination of the particle originally located at x. In the following, we will often use the image measure of a measure on X (measures will ...
... map T describes the movement (that we must choose in an optimal way), and T.x/ represents the destination of the particle originally located at x. In the following, we will often use the image measure of a measure on X (measures will ...
Page xvi
... map T. The cost to be minimized becomes simply ́ XYcd . We have now a linear ... optimal solution (see Chapter 1). In some cases, and in particular if c.x;y ... transport plan in the Kantorovich problem with cost jx yj has the following ...
... map T. The cost to be minimized becomes simply ́ XYcd . We have now a linear ... optimal solution (see Chapter 1). In some cases, and in particular if c.x;y ... transport plan in the Kantorovich problem with cost jx yj has the following ...
Page xvii
... optimal map, its regularity properties have also been studied: the main reference in this framework is Caffarelli ... transport cannot be reduced to the existence and the properties of optimal maps. The success of this theory can be ...
... optimal map, its regularity properties have also been studied: the main reference in this framework is Caffarelli ... transport cannot be reduced to the existence and the properties of optimal maps. The success of this theory can be ...
Page xxi
... ....... 59 2.1 Monotone transport maps and plans in 1D. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 2.2 The optimality of the monotone map .................................. 63 2.3 TheKnothetransport....................
... ....... 59 2.1 Monotone transport maps and plans in 1D. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 2.2 The optimality of the monotone map .................................. 63 2.3 TheKnothetransport....................
Table des matières
1 | |
2 Onedimensional issues | 58 |
3 L1 and L theory | 87 |
4 Minimal flows | 120 |
5 Wasserstein spaces | 177 |
6 Numerical methods | 219 |
7 Functionals over probabilities | 249 |
8 Gradient flows | 285 |
Exercises | 324 |
References | 339 |
Index | 351 |
Autres éditions - Tout afficher
Optimal Transport for Applied Mathematicians: Calculus of Variations, PDEs ... Filippo Santambrogio Aucun aperçu disponible - 2016 |
Optimal Transport for Applied Mathematicians: Calculus of Variations, PDEs ... Filippo Santambrogio Aucun aperçu disponible - 2015 |
Optimal Transport for Applied Mathematicians: Calculus of Variations, PDEs ... Filippo Santambrogio Aucun aperçu disponible - 2015 |
Expressions et termes fréquents
absolutely continuous algorithm apply approximation assumption atomic barycenter boundary bounded Brenier Chapter compact compute concave condition consider constraint continuity equation continuous function convex function countable curves defined definition denote density differentiable displacement convexity domain dual duality equality equilibrium existence fact finite function f geodesic given gives gradient flow hence Hint to Ex implies inequality infimum jx yj Kantorovich potential Knothe Lebesgue Lebesgue measure Lemma linear Lipschitz continuous lower semi-continuous Lp norms mass Math metric space Monge Monge-Ampère equation monotone Moreover norm Note obtained optimal map optimal transport map optimal transport plan particles particular probability measures Proof properties Proposition prove quadratic cost regularity result Santambrogio satisfies Section semi-continuity sequence ſº solution solve strictly convex Suppose Theorem triangle inequality unique variational vector field Wasserstein distances weak convergence