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Can I read Applications of functional analysis and operator theory, Volume 146 (Mathematics in Science and Engineering) on EtoBox?

Applications of functional analysis and operator theory, Volume 146 (Mathematics in Science and Engineering) by V. Hutson and J.S. Pym (Eds.) is a nonfiction available to read on EtoBox.

What is Applications of functional analysis and operator theory, Volume 146 (Mathematics in Science and Engineering) about?

Functional analysis is a powerful tool when applied to mathematical problems arising from physical situations. The present book provides, by careful selection of material, a collection of concepts and techniques essential for the modern practitioner. Emphasis is placed on the solution of equations (including nonlinear and partial differential equations). The assumed background is limited to elementary real variable theory and finite-dimensional vector spaces. Key Features- Provides an ideal transition between introductory math courses and advanced graduate study in applied mathematics, the physical sciences, or engineering. - Gives the reader a keen understanding of applied functional analysis, building progressively from simple background material to the deepest and most significant results.- Introduces each new topic with a clear, concise explanation.- Includes numerous examples linking fundamental principles with applications.- Solidifies the reader's understanding with numerous end-of-chapter problems. ?·Provides an ideal transition between introductory math courses and advanced graduate study in applied mathematics, the physical sciences,

Who reads Applications of functional analysis and operator theory, Volume 146 (Mathematics in Science and Engineering)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
V. Hutson and J.S. Pym (Eds.)
Publisher
Elsevier, Academic Press
Published
1980
Language
EN
ISBN
9780444517906
Category
nonfiction
Subjects
Mathematics, Technology, Computer Science

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