eBook PDF Optimization in Operations Research 2nd Edition By Ronald Rardin
ISBN-13: 978-0134384559
ISBN-13: 978-9353066369
ISBN-13: 978-0134224879
ISBN-13: 978-0134224886
Expanded Linear Programming Track: The
...
eBook PDF Optimization in Operations Research 2nd Edition By Ronald Rardin
ISBN-13: 978-0134384559
ISBN-13: 978-9353066369
ISBN-13: 978-0134224879
ISBN-13: 978-0134224886
Expanded Linear Programming Track: The 2nd edition heavily updates linear programming techniques, adding expanded analytical coverage of both dual and primal-dual methods alongside formal mathematical proofs for optimality conditions and cutting-plane theory.Brand New Stochastic Optimization: For the first time, this textbook incorporates a comprehensive introduction to optimizing under uncertainty, integrating new tracks on Stochastic Programming and Markov Decision Processes (MDPs).Dedicated Large-Scale Optimization Chapter: Chapter 13 is entirely committed to advanced algorithms used to resolve enterprise-level datasets. It features structural deep-dives into Delayed Column Generation, Lagrangian Relaxation, Dantzig-Wolfe Decomposition, and Benders’ Partitioning.Story-Driven Application Context: To make dense abstraction engaging, Rardin builds every algorithm and analytical principle around a brief, narrative-driven story. Computational exercises frequently force students to master the initial formulation step rather than jumping strictly into calculations.Algorithmic and Nonlinear Upgrades: The textbook incorporates the popular Sequential Quadratic Programming (SQP) method into its nonlinear programming track, while adding a specialized chapter on computational complexity theory to provide a rigorous foundation for comparing problem tractability.Comprehensive Scope: Spanning over 1,100 pages, the text walks students seamlessly through linear, integer, nonlinear, network, and dynamic programming in both single and multiobjective contexts.
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