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Informationen zum Autor Ramon E. Moore , Ohio State University, USA. Michael J. Cloud , Lawrence Technological University, USA. Klappentext 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. Inhaltsverzeichnis Linear spaces; Topological spaces; Metric spaces; Normed linear spaces and Banach spaces; Inner product spaces and Hilbert spaces; Linear functionals; Types of convergence in function spaces; Reproducing Kernel Hilbert spaces; Order relations in function spaces; Operators in function spaces; Completely continuous (compact) operators; Approximation methods for linear operator equations; Interval methods for operator equations; Contraction mappings and iterative methods; Frechet derivatives; Newton�s method in Banach spaces; Variants of Newton�s method; Homotopy and continuation methods; A hybrid method for a free boundary problem; Hints for selected exercises.
