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Springer Mathematical Analysis and Approximation Theory Vol 111

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Description

This specialized volume from the Springer Optimization and Its Applications series provides a comprehensive look at mathematical analysis and approximation theory. Designed specifically for graduate students, researchers, and engineers, this text serves as a self-contained resource for those working in mathematics, optimization, and economics. The content covers essential topics including the approximation of functions by linear positive operators, which has direct applications in computer aided geometric design. Readers will find detailed information on numerical analysis, optimization theory, and the solutions of differential equations. By exploring recent and significant developments in approximation theory, special functions, and q-calculus, this book offers practical insights for applications in both mathematics and engineering. It is an essential academic tool for mastering complex theoretical methods and their real-world implementations.

Key Features

Comprehensive coverage of mathematical analysis and approximation theory for advanced academic study.

Detailed insights into the approximation of functions using linear positive operators for geometric design.

In-depth exploration of numerical analysis, optimization theory, and differential equation solutions.

Covers recent developments in special functions and q-calculus for mathematics and engineering applications.

Self-contained volume designed for graduate students, professional researchers, and engineers.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 June 2018
Listed Since
07 June 2018

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