Introduction to Linear Optimization (Athena Scientific Series in Optimization and Neural Computation, 6)

This book provides a unified, insightful, and modern treatment of linear optimization, that is, linear programming, network flow problems, and discrete optimization. It includes classical topics as well as the state of the art, in both theory and practice.

• Convex Optimization
• Nonlinear Programming: 3rd Edition
• Dynamic Programming and Optimal Control (2 Vol Set)
• Introduction to Probability, 2nd Edition
• Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
• Convex Optimization Algorithms
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
• Reinforcement Learning and Optimal Control
• Introduction to Linear Algebra, Fifth Edition
• Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)