Optimization in Operations Research by Ronald Rardin, Second Edition, is an essential resource for advanced undergraduate and beginning graduate students, as well as researchers and practitioners. Building on its critically acclaimed first edition published in 1999, this revised version continues to make the tools of optimization modeling and analysis accessible through a clear, intuitive approach. The book covers the full scope of mathematical programming, including linear, integer, nonlinear, network, and dynamic programming models and algorithms, both in single and multiobjective contexts. New chapters on large-scale, stochastic, and complexity topics, along with broadly deepened mathematical rigor, enhance its comprehensive coverage without losing its engaging style. Each algorithm and analytic principle is presented within a narrative framework, making complex concepts more digestible. Computational exercises often begin with formulation steps to reinforce practical application. This edition remains committed to Rardin’s belief that optimization materials should be both accessible and exciting across diverse backgrounds.