Computational Functional Analysis

Course Overview

This course text fills a gap for first-year graduate-level students reading applied functional analysis or advanced engineering analysis and modern control theory.

Content and Features

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.

Methodology and Approach

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.