
Mass Transportation Problems
Applications
Springer (Publisher)
Published on 24. March 1998
Book
Hardback
XXVI, 430 pages
978-0-387-98352-3 (ISBN)
Description
This is the first comprehensive account of the theory of mass transportation problems and its applications. In volume I, the authors systematically develop the theory of mass transportation with emphasis to the Monge-Kantorovich mass transportation and the Kantorovich-Rubinstein mass transshipment problems, and their various extensions. They discuss a variety of different approaches towards solutions of these problems and exploit the rich interrelations to several mathematical sciences--from functional analysis to probability theory and mathematical economics. The second volume is devoted to applications to the mass transportation and mass transshipment problems to topics in applied probability, theory of moments and distributions with given marginals, queucing theory, risk theory of probability metrics and its applications to various fields, amoung them general limit theorems for Gaussian and non-Gaussian limiting laws, stochastic differential equations, stochastic algorithms and rounding problems. The book will be useful to graduate students and researchers in the fields of theoretical and applied probabilitry, operations research, computer science, and mathematical economics. The prerequisites for this book are graduate level probability theory and real and functional analysis.
More details
Series
Edition
1998 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
XXVI, 430 p.
Dimensions
Height: 243 mm
Width: 162 mm
Thickness: 26 mm
Weight
767 gr
ISBN-13
978-0-387-98352-3 (9780387983523)
DOI
10.1007/b98894
Schweitzer Classification
Other editions
Additional editions

Book
08/2013
Springer
€192.59
Shipment within 15-20 days

E-Book
05/2006
Springer
€181.89
Available for download
Content
Modifications of the Monge-Kantorovich Problems: Transportation Problems with Relaxed or Additional Constraints.- Application of Kantorovich-Type Metrics to Various Probabilistic-Type Limit Theorems.- Mass Transportation Problems and Recursive Stochastic Equations.- Stochastic Differential Equations and Empirical Measures.