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Santosh K. Gupta

    Approximation with Positive Linear Operators and Linear Combinations
    Reaction Engineering of Step Growth Polymerization
    Statistical Methods: Containsbesides Theoryabout 1000 Fully Solved Illustrations and about 1300 Problems with Answers
    • Focusing on step growth polymerization systems, this textbook provides an in-depth exploration of the principles and applications relevant to various fields, including photolithography and microelectronics. The first six chapters lay a foundational understanding, suitable for a graduate course, while the subsequent chapters delve into significant step growth polymerizations. The structured format allows for flexibility in course design, making it an ideal resource for both specialized and broader polymerization studies.

      Reaction Engineering of Step Growth Polymerization
    • 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 graduateand postgraduate courses as well as a basis for future study and development.

      Approximation with Positive Linear Operators and Linear Combinations