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Mass transportation problems.Volume ...
~
Rachev, S. T.
Mass transportation problems.Volume 1,Theory
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
Mass transportation problems./ Svetlozar T. Rachev, Ludger R鋎schendorf.
作者:
Rachev, S. T.
其他作者:
R鋎schendorf, Ludger,
出版者:
New York :Springer,�998.
面頁冊數:
1 online resource.
附註:
Title from e-book title screen (viewed Apr. 2, 2004).
標題:
Transportation problems (Programming) -
電子資源:
Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:
0387227555 (electronic bk.)
ISBN:
9780387227559 (electronic bk.)
ISBN:
1280010215
ISBN:
9781280010217
Mass transportation problems.Volume 1,Theory
Rachev, S. T.
Mass transportation problems.
Volume 1,Theory[electronic resource] /Svetlozar T. Rachev, Ludger R鋎schendorf. - New York :Springer,�998. - 1 online resource. - Probability and its applications. - Springer series in statistics.Probability and its applications..
Title from e-book title screen (viewed Apr. 2, 2004).
Includes bibliographical references and index.
Part I: Introduction -- The Monge-Kantorovich Problem -- Explicit results for the Monge-Kantorovich Problem -- Duality theory for mass-transfer problems -- Applications for the duality theory -- Mass-transshipment problems and ideal metrics.
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 probability, operations research, computer science, and mathematical economics. The prerequisites for this book are graduate level probability theory and real and functional analysis.
ISBN: 0387227555 (electronic bk.)Subjects--Topical Terms:
1000011819
Transportation problems (Programming)
Index Terms--Genre/Form:
172687
Electronic books.
LC Class. No.: QA402.6 / R33 1998eb
Dewey Class. No.: 519.72
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