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This book introduces a novel approach to discrete optimization, providing both theoretical insights and algorithmic developments that lead to improvements over state-of-the-art technology. The authors present chapters on the use of decision diagrams for combinatorial optimizatio…
Logic has recently become a basic modelling tool alongside mathematics, and the two styles of modelling are beginning to combine. Thus the need for logical inference models, particularly those that involve quantitative methods, is growing. As generated in operations research and…
"Presenting powerful, proven optimization techniques for logic inference problems, Chandru and Hooker show how optimization models can be used not only to solve problems in artificial intelligence and mathematical programming, but also have tremendous application in complex syst…
Merging logic and mathematics in deductive inference-an innovative, cutting-edge approach.Optimization methods for logical inference? Absolutely, say Vijay Chandru and John Hooker, two major contributors to this rapidly expanding field. And even though ""solving logical inferenc…