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＜電子ブック＞
Approximation with Positive Linear Operators and Linear Combinations / by Vijay Gupta, Gancho Tachev
(Developments in Mathematics. ISSN:2197795X ; 50)

版	1st ed. 2017.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2017
大きさ	XIII, 186 p. 2 illus. in color : online resource
著者標目	*Gupta, Vijay author Tachev, Gancho author SpringerLink (Online service)
件　名	LCSH:Approximation theory LCSH:Numerical analysis LCSH:Functional analysis FREE:Approximations and Expansions FREE:Numerical Analysis FREE:Functional Analysis
一般注記	1. Moments and Linear Combinations of Positive Linear Operators -- 2. Direct Estimates for Approximation by Linear Combinations -- 3. Inverse Estimates and Saturation Results for Linear Combinations -- 4. Voronovskaja Type Estimates -- 5. Pointwise Estimates for Linear Combinations -- 6. Voronovskaja's Theorem in Terms of Weighted Modulus of Continuity -- 7. Direct Estimates for Some New Operators -- 8. Convergence for Operators Based on Pǎltǎanea Basis -- Bibliography -- Index.  This book presents a systematic overview of approximation by linear combinations of positive linear operators, a useful tool used to increase the order of approximation. Fundamental and recent results from the past decade are described with their corresponding proofs. The volume consists of eight chapters that provide detailed insight into the representation of monomials of the operators Ln , direct and inverse estimates for a broad class of positive linear operators, and case studies involving finite and unbounded intervals of  real and complex functions. Strong converse inequalities of Type A in terminology of Ditzian–Ivanov for linear combinations of Bernstein and Bernstein–Kantorovich operators and various Voronovskaja-type estimates for some linear combinations are analyzed and explained. Graduate students and researchers in approximation theory will find the list of open problems in approximation of linear combinations useful. The book serves as a reference for graduate and postgraduate courses as well as a basis for future study and development.   HTTP:URL=https://doi.org/10.1007/978-3-319-58795-0

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