Problem solving methods in artificial intelligence Elsevier Science 1st edition by Nils Nilsson 0070465738 978-0070465732

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Product details:

ISBN-10 ‏ : ‎ 0070465738

ISBN-13 ‏ : ‎ 978-0070465732

Author :  Nils J. Nilsson

This self-tutorial offers a concise yet thorough grounding in the mathematics necessary for successfully applying FEMs to practical problems in science and engineering. The unique approach first summarizes and outlines the finite-element mathematics in general and then, in the second and major part, formulates problem examples that clearly demonstrate the techniques of functional analysis via numerous and diverse exercises. The solutions of the problems are given directly afterwards. Using this approach, the author motivates and encourages the reader to actively acquire the knowledge of finite-element methods instead of passively absorbing the material, as in most standard textbooks. The enlarged English-language edition, based on the original French, also contains a chapter on the approximation steps derived from the description of nature with differential equations and then applied to the specific model to be used. Furthermore, an introduction to tensor calculus using distribution theory offers further insight for readers with different mathematical backgrounds.

 

Problem solving methods in artificial intelligence-Elsevier Science 1st Table of contents:

1. Elements of Problem Solving Theory: Application of Cutting Strategies.

2. Solving Discrete Optimization Problems on The Basis of &PSgr;-Transformed Method.

3. Weak Methods and Heuristic Reasoning.

4. Logic-Based Problem-Solvers: Approaches and New Methods.

5. Programming Concepts in Problem Solving.

6. Future Concepts: Some Philosophical Issues.

 

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