Stochastic Programming: Theory, Applications and Impacts

$210.00

Series: Mathematics Research Developments
BISAC: MAT029040

his book is concerned with fostering theoretical issues on stochastic programming and discussing how it can solve real life problems.

The book presents applications which solve the optimization of concrete problems in electricity markets, market equilibria, resource markets and environments. Each chapter presents a survey on the main results concerned with its contents, and discusses their impact by illustrating how they are applicable in real life. The authors use concrete, real life problems and simulation-motivated experiments for illustrating the behavior of the stochastic models discussed.

The target audience for this title is graduate students or researchers in optimization, approximation, statistics, operations research and computing, as well as professionals dealing with applications where uncertainty may be modeled by using stochastic optimization and academics.

The contributors are well-known specialists in stochastic programming. (Imprint: Nova)

Table of Contents

Preface

Chapter 1. Random Approximations in Stochastic Programming: A Survey
Silvia Vogel (Ilmenau University of Technology, Ilmenau, Germany)

Chapter 2. Approximation and Estimation of the Approximation Error in Stochastic Programing Programs
Carlos N. Bouza-Herrera, Sira M. Allende Alonso and Rajesh Singh (Department of Matemática Aplicada, Facultad de Matemática y Computación, Universidad de La Habana, Ciudad de La Habana, La Habana, Cuba, and others)

Chapter 3. Probabilistic Linear Programming Problem with Cauchy Distributed Random Variables
Manas Kumar Pal (Birla Institute of Management and Technology, Bhubaneswar, Odisha, India)

Chapter 4. Stochastic Modeling of Imperfect Markets
Tobias Baltensperger and Ruud Egging (ETH Zurich, Switzerland, and others)

Chapter 5. Optimizing Derivatives through Stochastic Programming
Carlos N. Bouza-Herrera and Sira M. Allende Alonso (Department of Matemática Aplicada, Facultad de Matemática y Computación, Universidad de La Habana, Ciudad de La Habana, La Habana, Cuba)

Chapter 6. A Guide for the Use of the Stochastic Programming References Reported in the Contributions of This Book
Carlos N. Bouza-Herrera and José M. Sautto-Vallejo (Department of Matemática Aplicada, Facultad de Matemática y Computación, Universidad de La Habana, Ciudad de La Habana, La Habana, Cuba, and others)

Index

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