Introduction to Stochastic Programming (Springer Series in Ope...

Discover the essential foundation of stochastic programming with this comprehensive textbook, designed to introduce students to the art of making optimal decisions under uncertainty. As a rapidly evolving field that draws from operations research, mathematics, and probability, stochastic programming is increasingly applied across diverse sectors—from agriculture and financial planning to industrial engineering and computer networks. This book aims to equip readers with the tools to model uncertainty mathematically, understand its impact on decision-making, and learn techniques to effectively manage it.

Suitable for students with a basic knowledge of linear programming, elementary analysis, and probability, this first course provides a broad overview of the main themes and methods in the discipline. The authors focus on helping students develop intuition about how uncertainty influences problem-solving and decision processes, making complex concepts accessible and engaging.

In this extensively updated edition, the book features expanded material on methods and practical examples. It introduces several new approaches for handling discrete variables, presents recent results on risk measures in modeling, and explores Monte Carlo sampling methods. Additionally, a new chapter discusses the relationships between stochastic programming and other techniques, including approximate dynamic programming, robust optimization, and online methods. The text is highly illustrated, with chapter summaries, numerous examples, and exercises designed to reinforce learning.

This textbook is particularly valuable for students, researchers, and practitioners in operations research and optimization. Its clear explanations, comprehensive coverage, and practical insights make it an essential resource for understanding and applying stochastic programming principles.

Review of First Edition:
\"The discussion on modeling issues, the large number of examples used to illustrate the material, and the breadth of the coverage make \'Introduction to Stochastic Programming\' an ideal textbook for the area.\" (Interfaces, 1998)

• Brand: Springer
• Product Type: ABIS_BOOK
• Title: Springer Series in Operations Research and Financial Engineering
• Author: John R. Birge
• Genre: Business & Economics
• Format: Illustrated, Hardcover
• Language: English
• Publication Date: 2011, 2nd Edition