Optimization methods for logical inference
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 conte…
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- Full title :Optimization methods for logical inference / Vijay Chandru, John Hooker.
Summary
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.
Read More ↓Edition Statements
- Publication Date:©1999.
Publication Statements
- Publisher(s):Wiley
- Place of Publication:New York
- Language:eng
- Publication Date:©1999.
The Physical Object
- Description:1 online resource (xi, 365 pages)
Edition Identifiers
- ISBN:9781118031414, 1118031415, 9781118033166, 1118033167, 1283282631, 9781283282635, 9786613282637, 6613282634
- oclc:ocn773828505
- LC Classification:QA402.5
- Dewey Decimal:519.3
Table of Contents
Front Matter -- Introduction -- Propositional Logic: Special Cases -- Propositional Logic: The General Case -- Probabilistic and Related Logics -- Predicate Logic -- Nonclassical and Many-Valued Logics -- Appendix: Linear Programming -- Bibliography -- Index -- Wiley-Interscience Series in Discrete Mathematics and Optimization.
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