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Computational Functional Analysis
- 2nd Edition - June 1, 2007
- Authors: Ramon E Moore, Michael J Cloud
- Language: English
- Paperback ISBN:9 7 8 - 1 - 9 0 4 2 7 5 - 2 4 - 4
- eBook ISBN:9 7 8 - 0 - 8 5 7 0 9 - 9 4 3 - 3
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… Read more
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Request a sales quoteThis 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.
- Contains 100 problem-exercises, answers and tutorial hints for students reading applied functional analysis
- Introduces interval analysis into the mainstream of computational functional analysis
First-year graduate-level students studying applied functional analysis or advanced engineering analysis and modern control theory
- Preface
- Acknowledgements
- Notation
- 1: Introduction
- 2: Linear spaces
- 3: Topological spaces
- 4: Metric spaces
- 5: Normed linear spaces and Banach spaces
- 6: Inner product spaces and Hilbert spaces
- 7: Linear functionals
- 8: Types of convergence in function spaces
- 9: Reproducing kernel Hilbert spaces
- 10: Order relations in function spaces
- 11: Operators in function spaces
- Neumann series
- Adjoint operators
- 12: Completely continuous (compact) operators
- 13: Approximation methods for linear operator equations
- 14: Interval methods for operator equations
- 15: Contraction mappings and iterative methods for operator equations in fixed point form
- 16: Fréchet derivatives
- 17: Newton’s method in Banach spaces
- 18: Variants of Newton’s method
- Numerical examples
- 19: Homotopy and continuation methods
- Davidenko’s method
- Computational aspects
- 20: A hybrid method for a free boundary problem
- Hints for selected exercises
- Further reading
- Index
- No. of pages: 220
- Language: English
- Edition: 2
- Published: June 1, 2007
- Imprint: Woodhead Publishing
- Paperback ISBN: 9781904275244
- eBook ISBN: 9780857099433
RM
Ramon E Moore
Ramon E. Moore, Ohio State University, USA.
Affiliations and expertise
Ohio State UniversityMC
Michael J Cloud
Michael J. Cloud, Lawrence Technological University, USA.
Affiliations and expertise
Lawrence Technological University, USARead Computational Functional Analysis on ScienceDirect