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Springer Mathematical Analysis, Approximation Theory and Applications - Springer

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Description

This comprehensive graduate-level text from Springer explores mathematical analysis and approximation theory with practical applications across optimization, engineering, and economics. The volume covers approximation of functions by linear positive operators, computer-aided geometric design, numerical analysis, and solutions to differential equations. Designed for researchers and engineers, it presents both foundational theory and modern developments in special functions and q-calculus. The self-contained approach makes it valuable for advanced study in functional analysis and optimization, offering methods applicable to real-world problems in mathematics and engineering disciplines.

Key Features

Springer Optimization and Its Applications series volume 111, designed for graduate students and researchers in mathematics and related fields.

Covers linear positive operators and their applications to computer-aided geometric design and numerical analysis methods.

Addresses approximation theory with recent developments in special functions and q-calculus for engineering applications.

Includes solutions to differential equations and optimization theory techniques for mathematical problem-solving.

Self-contained presentation suitable for both theoretical study and practical application in economics and engineering.

Product Specifications

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

Barcode

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