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Optimization in Operations Research

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Developing skills and intuitions through accessible optimization models and analysis. Rardins Optimization in Operations Research Second Edition builds on the critically acclaimed first edition published nearly two decades ago and named Book of the Year in 1999 by the Institute of Industrial Engineers. The goal of the Second Edition is to make the tools of optimization modeling and analysis even more widely accessible to advanced undergraduate and beginning graduate students as well as to researchers and working practitioners who use it as a reference for self-study. The emphasis lies in developing skills and intuitions that students can apply in real settings or later coursework. LIke the first the Second Edition covers the full scope of optimization (mathematical programming) spanning linear integer nonlinear network and dynamic programming models and algorithms in both single and multiobjective contexts. New material adds large-scale stochastic and complexity topics while broadly deepening mathematical rigor without sacrificing the originals intuitive style. This edition also continues the authors belief that making optimization materials accessible and exciting to readers of diverse backgrounds requires a continuing discourse on optimization modeling. Every algorithm and analytic principle is developed in the context of a brief story and computational exercises often begin with a formulation step.