| Computational Functional Analysis Revised Edition Contributor(s): Moore, Ramon E. (Author), Cloud, Michael J. (Author) |
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ISBN: 1904275249 ISBN-13: 9781904275244 Publisher: Woodhead Publishing OUR PRICE: $86.40 Product Type: Paperback Published: June 2007 Annotation: This course text, now updated to include an engineering readership, fills a gap for first year graduate-level students reading applied functional analysis or advanced engineering analysis and modern control theory. The first edition is often cited as a standard reference. Making a unique contribution to numerical analysis for operator equations, the book introduces interval analysis into the mainstream of computational functional analysis, and includes and discusses the elegant techniques for reproducing kernel Hilbert spaces. There is discussion of a successful "hybrid" method for difficult real-life problems, with a balance between coverage of linear and non-linear operator equations. Numerical worked examples help the reader to apply the methods. 100 problem-exercises, answers, and tutorial hints, help students to discover the relevance of the theory, reflecting the authors' successful teaching philosophy. |
| Additional Information |
| BISAC Categories: - Mathematics | Functional Analysis - Technology & Engineering | Electronics - General - Computers | Computer Engineering |
| Dewey: 515.7 |
| LCCN: 2007275925 |
| Series: Ellis Horwood Series in Mathematics and Its Applications |
| Physical Information: 0.41" H x 6.3" W x 9.2" (0.66 lbs) 212 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This course text fills a gap for first-year graduate-level students reading applied functional analysis or advanced engineering analysis and modern control theory. Containing 100 problem-exercises, answers, and tutorial hints, the first edition is often cited as a standard reference. Making a unique contribution to numerical analysis for operator equations, it introduces interval analysis into the mainstream of computational functional analysis, and discusses the elegant techniques for reproducing Kernel Hilbert spaces. There is discussion of a successful ''hybrid'' method for difficult real-life problems, with a balance between coverage of linear and non-linear operator equations. The authors successful teaching philosophy: ''We learn by doing'' is reflected throughout the book. |
