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Stochastic Programming - András Prékopa
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András Prékopa:

Stochastic Programming - Paperback

2010, ISBN: 904814552X

[EAN: 9789048145522], Neubuch, [SC: 0.0], [PU: Springer Netherlands], APPROXIMATION; NORMALDISTRIBUTION; STATISTICA; ALGORITHMS; LINEAROPTIMIZATION; OPERATIONSRESEARCH; OPTIMIZATION; STAT… More...

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Prékopa, András:

Stochastic Programming - Paperback

2010, ISBN: 9789048145522

[ED: Softcover], [PU: Springer Netherlands], Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical program… More...

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Stochastic Programming - András Prékopa
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András Prékopa:
Stochastic Programming - Paperback

ISBN: 9789048145522

Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of… More...

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Stochastic Programming (Mathematics and Its Applications) (Mathematics and Its Applications (324), Band 324) - Prekopa, Andras
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Prekopa, Andras:
Stochastic Programming (Mathematics and Its Applications) (Mathematics and Its Applications (324), Band 324) - Paperback

2010, ISBN: 9789048145522

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 1995, 620 Seiten, Publiziert: 2010-12-10T00:00:01Z, Produktgruppe: Book, 2.07 kg, Verkaufsrang: 4506, Kosten & Contr… More...

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Stochastic Programming - Andras Prekopa
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Andras Prekopa:
Stochastic Programming - Paperback

2010, ISBN: 9789048145522

Buch, Softcover, Softcover reprint of hardcover 1st ed. 1995, [PU: Springer], Springer, 2010

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Details of the book
Stochastic Programming
Author:
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ISBN:

9789048145522


Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of statistics and mathematical programming. The book Stochastic Programming is a comprehensive introduction to the field and its basic mathematical tools. While the mathematics is of a high level, the developed models offer powerful applications, as revealed by the large number of examples presented. The material ranges form basic linear programming to algorithmic solutions of sophisticated systems problems and applications in water resources and power systems, shipbuilding, inventory control, etc. Audience: Students and researchers who need to solve practical and theoretical problems in operations research, mathematics, statistics, engineering, economics, insurance, finance, biology and environmental protection.

Details of the book - Stochastic Programming


EAN (ISBN-13): 9789048145522
ISBN (ISBN-10): 904814552X
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer
620 Pages
Weight: 0,923 kg
Language: eng/Englisch

Book in our database since 2010-10-12T15:59:52+01:00 (London)
Detail page last modified on 2022-01-10T17:45:58+00:00 (London)
ISBN/EAN: 9789048145522

ISBN - alternate spelling:
90-481-4552-X, 978-90-481-4552-2
Alternate spelling and related search-keywords:
Book author: prekopa, andras, andräß, prekop

Information from Publisher

Author: András Prékopa
Title: Mathematics and Its Applications; Stochastic Programming
Publisher: Springer; Springer Netherland
600 Pages
Publishing year: 2010-12-15
Dordrecht; NL
Printed / Made in
Language: English
235,39 € (DE)
241,99 € (AT)
260,00 CHF (CH)
POD
XVIII, 600 p.

BC; Hardcover, Softcover / Mathematik/Sonstiges; Optimierung; Verstehen; Approximation; Normal distribution; STATISTICA; algorithms; linear optimization; operations research; optimization; statistics; Optimization; Probability Theory; Operations Research, Management Science; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; Unternehmensforschung; BB; EA

1 General Theory of Linear Programming.- 2 Convex Polyhedra.- 3 Special Problems and Methods.- 4 Logconcave and Quasi-Concave Measures.- 5 Moment Problems.- 6 Bounding and Approximation of Probabilities.- 7 Statistical Decisions.- 8 Static Stochastic Programming Models.- 9 Solutions of the Simple Recourse Problem.- 10 Convexity Theory of Probabilistic Constrained Problems.- 11 Programming under Probabilistic Constraint and Maximizing Probabilities under Constraints.- 12 Two-Stage Stochastic Programming Problems.- 13 Multi-Stage Stochastic Programming Problems.- 14 Special Cases and Selected Applications.- 15 Distribution Problems.- Appendix. The Multivariate Normal Distribution.- Author Index.

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