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Optimization Methods for Logical Inference
Vijay Chandru
€ 204.68
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Description for Optimization Methods for Logical Inference
Hardcover. Logic has recently become a basic modelling tool alongside mathematics, and the two styles of modelling are beginning to combine. This volume exploits the similarity of certain logical and optimization problems to solve inference problems more rapidly than with traditional AI techniques. Series: Wiley-Interscience Series in Discrete Mathematics and Optimization. Num Pages: 365 pages, Illustrations. BIC Classification: PBCD; PBK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 160 x 25. Weight in Grams: 654.
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 inference problems with optimization methods may seem a bit like eating sauerkraut with chopsticks. . . it is the mathematical structure of a problem that determines whether an optimization model can help solve it, not the context in which the problem occurs."
Presenting powerful, proven optimization techniques for logic inference problems, Chandru and Hooker show how optimization models can ... Read more
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 inference problems with optimization methods may seem a bit like eating sauerkraut with chopsticks. . . it is the mathematical structure of a problem that determines whether an optimization model can help solve it, not the context in which the problem occurs."
Presenting powerful, proven optimization techniques for logic inference problems, Chandru and Hooker show how optimization models can ... Read more
Product Details
Format
Hardback
Publication date
1999
Publisher
John Wiley and Sons Ltd United States
Number of pages
365
Condition
New
Series
Wiley-Interscience Series in Discrete Mathematics and Optimization
Number of Pages
365
Place of Publication
, United States
ISBN
9780471570356
SKU
V9780471570356
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Vijay Chandru
VIJAY CHANDRU is a professor in the Computer Science and Automation Department at the Indian Institute of Science in Bangalore, India. JOHN N. HOOKER is a professor in the Graduate School of Industrial Administration at Carnegie Mellon University.
Reviews for Optimization Methods for Logical Inference
"...the first monograph devoted to a new interesting research area combining logic with optimization methods." (Mathematical Reviews, Issue 2001j)