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Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials

Bag om Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials

Inequalities for polynomials and their derivatives are very important in many areas of mathematics, as well as in other computational and applied sciences; in particular they play a fundamental role in approximation theory. Here, not only Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials, but also ones for trigonometric polynomials and related functions, are treated in an integrated and comprehensive style in different metrics, both on general classes of polynomials and on important restrictive classes of polynomials. Primarily for graduate and PhD students, this book is useful for any researchers exploring problems which require derivative estimates. It is particularly useful for those studying inverse problems in approximation theory.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780128119884
  • Indbinding:
  • Paperback
  • Sideantal:
  • 442
  • Udgivet:
  • 15. februar 2022
  • Størrelse:
  • 152x228x28 mm.
  • Vægt:
  • 708 g.
  Gratis fragt
Leveringstid: 8-11 hverdage
Forventet levering: 16. december 2024
Forlænget returret til d. 31. januar 2025

Beskrivelse af Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials

Inequalities for polynomials and their derivatives are very important in many areas of mathematics, as well as in other computational and applied sciences; in particular they play a fundamental role in approximation theory. Here, not only Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials, but also ones for trigonometric polynomials and related functions, are treated in an integrated and comprehensive style in different metrics, both on general classes of polynomials and on important restrictive classes of polynomials. Primarily for graduate and PhD students, this book is useful for any researchers exploring problems which require derivative estimates. It is particularly useful for those studying inverse problems in approximation theory.

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