Topics in Optimal Transportation (Graduate Studies in Mathematics, Vol. 58)

ISBN-13: 9780821833124

ISBN-10: 082183312X

Author: Cedric Villani

Edition: UK ed.

Publication date:
American Mathematical Society
Hardcover 370 pages
Algebra, Calculus, Economics, Sociology, Mathematics
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Acknowledged author Cedric Villani wrote Topics in Optimal Transportation (Graduate Studies in Mathematics, Vol. 58) comprising 370 pages back in 2003. Textbook and etextbook are published under ISBN 082183312X and 9780821833124. Since then Topics in Optimal Transportation (Graduate Studies in Mathematics, Vol. 58) textbook was available to sell back to BooksRun online for the top buyback price of $6.71 or rent at the marketplace.


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.