The Art of Computational Dynamic Programming

In The Art of Computational Dynamic Programming, authors Eiji Mizutani and Stuart Dreyfus describe fertile and promising areas of computational applications of dynamic programming with emphasis on discrete optimization. The book covers various recent applications of computational dynamic programming such as sequence alignment algorithms for pattern recognition, backpropagation schemes for neural-network learning, and temporaldifference reinforcement learning. The book also includes well-discusse