Methodologies for Knowledge Discovery and Data Mining: Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings (Lecture . / Lecture Notes in Artificial Intelligence 1574)

Ning Zhong, Lizhu Zhou

ISBN 10: 0792342380 / ISBN 13: 9780792342380

Editore: Springer, 1999

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Codice articolo ZB716329

Dati bibliografici

• Titolo: Methodologies for Knowledge Discovery and Data Mining: Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings (Lecture . / Lecture Notes in Artificial Intelligence 1574)
• Editore: Springer
• Data di pubblicazione: 1999
• ISBN 10: 0792342380
• ISBN 13: 9780792342380
• Condizione: Good

Descrizione articolo

Riassunto

This work grew out of several years of research, graduate seminars and talks on the subject. It was motivated by a desire to make the technology accessible to those who most needed it or could most use it. It is meant to be a self-contained introduction, a reference for the techniques, and a guide to the literature for the underlying theory. It contains pointers to fertile areas for future research. It also serves as introductory documentation for a Fortran 90 software package for nonlinear systems and global optimization. The subject of the monograph is deterministic, automatically verified or r- orous methods. In such methods, directed rounding and computational fix- point theory are combined with exhaustive search (branch and bound) te- niques. Completion of such an algorithm with a list of solutions constitutes a rigorous mathematical proof that all of the solutions within the original search region are within the output list. The monograph is appropriate as an introduction to research and technology in the area, as a desk reference, or as a graduate-level course reference. Kno- edge of calculus, linear algebra, and elementary numerical analysis is assumed.

Contenuti

List of Figures. List of Tables. Preface. 1. Preliminaries. 2. Software Environments. 3. On Preconditioning. 4. Verified Solution of Nonlinear Systems. 5. Optimization. 6. Non-Differentiable Problems. 7. Use of Intermediate Quantities in the Expression Values. References. Index.