Shape-Preserving Approximation by Real and Complex Polynomials

1. Front Matter

   Pages i-xiii

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2. Shape-Preserving Approximation By Real Univariate Polynomials

   Pages 1-97

3. Shape-Preserving Approximation by Real Multivariate Polynomials

   Pages 99-213

4. Shape-Preserving Approximation by Complex Univariate Polynomials

   Pages 215-281

5. Shape-Preserving Approximation by Complex Multivariate Polynomials

   Pages 283-303

6. Appendix : Some Related Topics

   Pages 305-327

7. Back Matter

   Pages 329-352

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In many problems arising in engineering and science one requires approxi- tion methods to reproduce physical reality as well as possible. Very schema- cally, if the input data represents a complicated discrete/continuous quantity of information, of “shape” S (S could mean, for example, that we have a “monotone/convex” collection of data), then one desires to represent it by the less-complicated output information, that “approximates well” the input data and, in addition, has the same “shape” S. This kind of approximation is called “shape-preserving approximation” and arises in computer-aided geometric design, robotics, chemistry, etc. Typically, the input data is represented by a real or complex function (of one or several variables), and the output data is chosen to be in one of the classes polynomial, spline, or rational functions. The present monograph deals in Chapters 1–4 with shape-preserving - proximation by real or complex polynomials in one or several variables. Chapter 5 is an exception and is devoted to some related important but n- polynomial andnonsplineapproximations preservingshape.Thesplinecaseis completely excluded in the present book, since on the one hand, many details concerning shape-preserving properties of splines can be found, for example, in the books of de Boor [49], Schumaker [344], Chui [69], DeVore–Lorentz [91], Kvasov [218] and in the surveys of Leviatan [229], Koci´ c–Milovanovi´ c [196], while on the other hand, we consider that shape-preserving approximation by splines deserves a complete study in a separate book.

• Computer
• Operator
• differential equation
• fluid mechanics
• mechanics
• numerical analysis
• partial differential equation
• robotics

From the reviews:

"This monograph is a rich collection of existing and new results in an important part of approximation theory, in which the object of approximation and the instrument for approximation share the same shape characteristics. … This is convenient for a reference book … . This book is a result of hard work and deep knowledge of the subject. It is a very important reference book for experts in approximation theory and would be a worthy addition to any mathematics library." (Bl. Sendov, Mathematical Reviews, Issue 2009 m)

• Department of Mathematics and Computer Science, University of Oradea, Oradea, Romania

  Sorin G. Gal

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