Topics in optimal transportation

This is the first comprehensive introduction to the theory of mass transportation with its many - and sometimes unexpected - applications. In a novel approach to the subject, the book both surveys the topic and includes a chapter of problems, making it a particularly useful graduate textbook. In 178...

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Príomhchruthaitheoir: Villani, Cédric, 1973-
Formáid: Livre papier
Teanga:Anglais
Foilsithe / Cruthaithe: Providence, Rhode Island : American mathematical society C 2003.
Sraith:Graduate studies in mathematics 58
Ábhair:
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Topics in optimal transportation, Cédric Villani, Providence, Rhode Island, American mathematical society, 2003, 1 online resource (390 pages), Graduate studies in mathematics, 978-1-4704-1804-5
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245 1 0 |a Topics in optimal transportation   |c Cédric Villani. 
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300 |a 1 vol. (XVI-370 p.) :  |b ill. ;  |c 26 cm. 
490 1 |a Graduate studies in mathematics  |v 58 
504 |a Bibliogr. p. 349-362. Index 
520 |a This is the first comprehensive introduction to the theory of mass transportation with its many - and sometimes unexpected - applications. In a novel approach to the subject, the book both surveys the topic and includes a chapter of problems, making it a particularly useful graduate textbook. In 1781, Gaspard Monge defined the problem of "optimal transportation" (or the transferring of mass with the least possible amount of work), with applications to engineering in mind. In 1942, Leonid Kantorovich applied the newborn machinery of linear programming to Monge's problem, with applications to economics in mind. In 1987, Yann Brenier used optimal transportation to prove a new projection theorem on the set of measure preserving maps, with applications to fluid mechanics in mind. Each of these contributions marked the beginning of a whole mathematical theory, with many unexpected ramifications. Nowadays, the Monge-Kantorovich problem is used and studied by researchers from extremely diverse horizons, including probability theory, functional analysis, isoperimetry, partial differential equations, and even meteorology. Originating from a graduate course, the present volume is intended for graduate students and researchers, covering both theory and applications. Readers are only assumed to be familiar with the basics of measure theory and functional analysis. (4e de couverture) 
650 |a Problèmes de transport (programmation) 
650 |a Monge-Ampère, Équations de 
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