Category Archives: Operations Research

Stochastic-Process Limits: An Introduction to Stochastic-Process Limits and their Application to Queues (Springer Series in Operations Research and Financial Engineering)

From the reviews: “The material is self-contained, but it is technical and a solid foundation in probability and queuing theory is beneficial to prospective readers. [… It] is intended to be accessible to those with less background. This book is … Continue reading

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Computational Intelligence: Methods and Techniques

This quite simply superb book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. These techniques are today commonly applied to issues of artificial intelligence. The book presents methods of knowledge representation using … Continue reading

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Large-Scale Nonlinear Optimization (Nonconvex Optimization and Its Applications)

This book reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research. Individual chapters, contributed by eminent authorities, provide an up-to-date … Continue reading

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Single-Facility Location Problems with Barriers (Springer Series in Operations Research and Financial Engineering)

This text develops the mathematical implications of barriers to the geometrical and analytical characteristics of continuous location problems. The book will appeal to those working in operations research and management science, and mathematicians interested in optimization theory and its applications.

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Linear and Nonlinear Programming (International Series in Operations Research & Management Science)

This third edition of the classic textbook in Optimization has been fully revised and updated. It comprehensively covers modern theoretical insights in this crucial computing area, and will be required reading for analysts and operations researchers in a variety of … Continue reading

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Statistical Modeling and Analysis for Complex Data Problems

This book reviews some of today’s more complex problems, and reflects some of the important research directions in the field. Twenty-nine authors – largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, … Continue reading

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Optimal Design of Complex Mechanical Systems: With Applications to Vehicle Engineering

This book presents foundations and practical application of multi-objective optimization methods to Vehicle Design Problems, bolstered with an extensive collection of examples. Opening with a broad theoretical introduction to the optimization of complex mechanical systems and multi-objective optimization methods, the … Continue reading

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Supply Chain Management: Models, Applications, and Research Directions (Applied Optimization)

This work brings together some of the most up to date research in the application of operations research and mathematical modeling techniques to supply chain management problems. The book’s chapters place a heavy emphasis on the application of modeling techniques … Continue reading

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Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability)

Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as … Continue reading

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Interior Point Methods for Linear Optimization

The era of interior point methods (IPMs) was initiated by N. Karmarkar’s 1984 paper, which triggered turbulent research and reshaped almost all areas of optimization theory and computational practice. This book offers comprehensive coverage of IPMs. It details the main … Continue reading

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