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Problemi di trasporto di massa: applicazioni di Svetlozar T. Rachev (inglese) duro-
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Numero oggetto eBay:386700022925
Specifiche dell'oggetto
- Condizione
- ISBN-13
- 9780387983523
- Book Title
- Mass Transportation Problems
- ISBN
- 9780387983523
- Subject Area
- Mathematics, Transportation
- Publication Name
- Mass Transportation Problems Pt. II : Applications
- Publisher
- Springer New York
- Item Length
- 9.3 in
- Subject
- Probability & Statistics / General, Public Transportation
- Publication Year
- 1998
- Series
- Probability and Its Applications Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.4 in
- Item Weight
- 63.8 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xxvi, 430 Pages
Informazioni su questo prodotto
Product Identifiers
Publisher
Springer New York
ISBN-10
038798352X
ISBN-13
9780387983523
eBay Product ID (ePID)
17038413291
Product Key Features
Number of Pages
Xxvi, 430 Pages
Publication Name
Mass Transportation Problems Pt. II : Applications
Language
English
Subject
Probability & Statistics / General, Public Transportation
Publication Year
1998
Type
Textbook
Subject Area
Mathematics, Transportation
Series
Probability and Its Applications Ser.
Format
Hardcover
Dimensions
Item Height
0.4 in
Item Weight
63.8 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
97-034593
Dewey Edition
21
Series Volume Number
Pt. II
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.7/2
Table Of 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.
Synopsis
The first comprehensive account of the theory of mass transportation problems and its applications. In Volume I, the authors systematically develop the theory with emphasis on the Monge-Kantorovich mass transportation and the Kantorovich-Rubinstein mass transshipment problems. They then discuss a variety of different approaches towards solving 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 of the above problems to topics in applied probability, theory of moments and distributions with given marginals, queuing theory, risk theory of probability metrics and its applications to various fields, among them general limit theorems for Gaussian and non-Gaussian limiting laws, stochastic differential equations and algorithms, and rounding problems. Useful to graduates and researchers in 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., Mass transportation problems concern the optimal transfer of masses from one location to another. This second of two volumes will be the definite reference for researchers in applied probability, operations research, computer science, and mathematical economics., 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.
LC Classification Number
QA276-280
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