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Stochastic Decomposition

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Release : 2013-11-27
Genre : Mathematics
Kind : eBook
Book Rating : 158/5 ( reviews)

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Book Synopsis Stochastic Decomposition by : Julia L. Higle

Download or read book Stochastic Decomposition written by Julia L. Higle. This book was released on 2013-11-27. Available in PDF, EPUB and Kindle. Book excerpt: Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found applications in air line yield management, capacity planning, electric power generation planning, financial planning, logistics, telecommunications network planning, and many more. In some of these applications, modelers represent uncertainty in terms of only a few seenarios and formulate a large scale linear program which is then solved using LP software. However, there are many applications, such as the telecommunications planning problem discussed in this book, where a handful of seenarios do not capture variability well enough to provide a reasonable model of the actual decision-making problem. Problems of this type easily exceed the capabilities of LP software by several orders of magnitude. Their solution requires the use of algorithmic methods that exploit the structure of the SLP model in a manner that will accommodate large scale applications.

Upper and Lower Bounds for Stochastic Processes

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Release : 2022-01-01
Genre : Mathematics
Kind : eBook
Book Rating : 957/5 ( reviews)

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Book Synopsis Upper and Lower Bounds for Stochastic Processes by : Michel Talagrand

Download or read book Upper and Lower Bounds for Stochastic Processes written by Michel Talagrand. This book was released on 2022-01-01. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth account of modern methods used to bound the supremum of stochastic processes. Starting from first principles, it takes the reader to the frontier of current research. This second edition has been completely rewritten, offering substantial improvements to the exposition and simplified proofs, as well as new results. The book starts with a thorough account of the generic chaining, a remarkably simple and powerful method to bound a stochastic process that should belong to every probabilist’s toolkit. The effectiveness of the scheme is demonstrated by the characterization of sample boundedness of Gaussian processes. Much of the book is devoted to exploring the wealth of ideas and results generated by thirty years of efforts to extend this result to more general classes of processes, culminating in the recent solution of several key conjectures. A large part of this unique book is devoted to the author’s influential work. While many of the results presented are rather advanced, others bear on the very foundations of probability theory. In addition to providing an invaluable reference for researchers, the book should therefore also be of interest to a wide range of readers.

Stochastic Decomposition

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Release : 2014-09-01
Genre :
Kind : eBook
Book Rating : 165/5 ( reviews)

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Book Synopsis Stochastic Decomposition by : Julia L. Higle

Download or read book Stochastic Decomposition written by Julia L. Higle. This book was released on 2014-09-01. Available in PDF, EPUB and Kindle. Book excerpt:

Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming

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Release : 2010-05-30
Genre : Mathematics
Kind : eBook
Book Rating : 994/5 ( reviews)

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Book Synopsis Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming by : Christian Küchler

Download or read book Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming written by Christian Küchler. This book was released on 2010-05-30. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Two-stage Stochastic Linear Programming: Stochastic Decomposition Approaches (PHD).

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Release : 1991
Genre :
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Book Synopsis Two-stage Stochastic Linear Programming: Stochastic Decomposition Approaches (PHD). by : Diana Schadl Yakowitz

Download or read book Two-stage Stochastic Linear Programming: Stochastic Decomposition Approaches (PHD). written by Diana Schadl Yakowitz. This book was released on 1991. Available in PDF, EPUB and Kindle. Book excerpt:

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