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عنوان
Stability, approximation, and decomposition in two- and multistage stochastic programming /

پدید آورنده
Christian Küchler.

موضوع
Mathematical optimization.,Stochastic programming.,Mathematical optimization.,Stochastic programming.

رده
T57
.
79
.
K83
2009

کتابخانه
کتابخانه مطالعات اسلامی به زبان های اروپایی

محل استقرار
استان: قم ـ شهر: قم

کتابخانه مطالعات اسلامی به زبان های اروپایی

تماس با کتابخانه : 32910706-025

3834809217
3834893994
9783834809216
9783834893994
9783834809216

b706983

Stability, approximation, and decomposition in two- and multistage stochastic programming /
[Book]
Christian Küchler.

1. Aufl.

Wiesbaden :
Vieweg + Teubner,
2009.

1 online resource (x, 168 pages) :
illustrations

Vieweg + Teubner research : Stochastic programming

Includes bibliographical references (pages 159-168).

Preface; Contents; List of Figures; List of Tables; Index of Notation; Chapter 1 Introduction; 1.1 Stochastic Programming Models; 1.2 Approximations, Stability, and Decomposition; 1.3 Contributions; Chapter 2 Stability of Multistage Stochastic Programs; 2.1 Problem Formulation; 2.2 Continuity of the Recourse Function; 2.3 Approximations; 2.4 Calm Decisions; 2.5 Stability; Chapter 3 Recombining Trees for Multistage Stochastic Programs; 3.1 Problem Formulation and Decomposition; 3.2 An Enhanced Nested Benders Decomposition; 3.3 Construction of Recombining Trees; 3.4 Case Study.
0

Diss.: Berlin, Humboldt-University, 2009.

Stochastic programming provides a framework for modelling, analyzing, and solving optimization problems with some parameters being not known up to a probability distribution. Such problems arise in a variety of applications, such as inventory control, financial planning and portfolio optimization, airline revenue management, scheduling and operation of power systems, and supply chain management. Christian Küchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees. The approach combines the concept of cut sharing with a specific aggregation procedure and prevents an exponentially growing number of subproblem evaluations. Convergence results and numerical properties are discussed.

Springer
978-3-8348-0921-6

Stability, approximation, and decomposition in two- and multistage stochastic programming.
3834809217

Mathematical optimization.
Stochastic programming.
Mathematical optimization.
Stochastic programming.

519
.
6/2
22

T57
.
79
.
K83
2009

Küchler, Christian.

20201207220908.0
pn

 مطالعه متن کتاب 

[Book]

Y

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