Fr. 117.00

Computational Functional Analysis

English · Paperback / Softback

Shipping usually within 3 to 5 weeks

Description

Read more

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.

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.