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Multivariate Polynomial Approximation

Multivariate Polynomial Approximation
Author: Manfred Reimer
Publisher: Birkhäuser
Total Pages: 361
Release: 2012-12-06
Genre: Mathematics
ISBN: 3034880952

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This book introduces general theory by presenting the most important facts on multivariate interpolation, quadrature, orthogonal projections and their summation, all treated under a constructive view, and embedded in the theory of positive linear operators. On this background, the book builds the first comprehensive introduction to the theory of generalized hyperinterpolation. Several parts of the book are based on rotation principles, which are presented in the beginning of the book.


Multivariate Polynomial Approximation

Multivariate Polynomial Approximation
Author: Manfred Reimer
Publisher: Birkhauser
Total Pages: 358
Release: 2003-01-01
Genre: Mathematics
ISBN: 9780817616380

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Multivariate polynomials are a main tool in approximation. The book begins with an introduction to the general theory by presenting the most important facts on multivariate interpolation, quadrature, orthogonal projections and their summation, all treated under a constructive view, and embedded in the theory of positive linear operators. On this background, the book gives the first comprehensive introduction to the recently developped theory of generalized hyperinterpolation. As an application, the book gives a quick introduction to tomography. Several parts of the book are based on rotation principles, which are presented in the beginning of the book, together with all other basic facts needed.


Topics in Multivariate Approximation

Topics in Multivariate Approximation
Author: C. K. Chui
Publisher: Elsevier
Total Pages: 346
Release: 2014-05-10
Genre: Mathematics
ISBN: 1483271005

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Topics in Multivariate Approximation contains the proceedings of an international workshop on multivariate approximation held at the University of Chile in Santiago, Chile, on December 15-19, 1986. Leading researchers in the field discussed several problem areas related to multivariate approximation and tackled topics ranging from multivariate splines and fitting of scattered data to tensor approximation methods and multivariate polynomial approximation. Numerical grid generation and finite element methods were also explored, along with constrained interpolation and smoothing. Comprised of 22 chapters, this book first describes the application of Boolean methods of approximation in combination with the theory of right invertible operators to bivariate Fourier expansions. The reader is then introduced to ill-posed problems in multivariate approximation; interpolation of scattered data by radial functions; and shape-preserving surface interpolation. Subsequent chapters focus on approximation by harmonic functions; numerical generation of nested series of general triangular grids; triangulation methods; and inequalities arising from best local approximations in rectangles. A bibliography of multivariate approximation concludes the book. This monograph will be of interest to mathematicians.


Spectral Methods Using Multivariate Polynomials On The Unit Ball

Spectral Methods Using Multivariate Polynomials On The Unit Ball
Author: Kendall Atkinson
Publisher: CRC Press
Total Pages: 275
Release: 2019-11-27
Genre: Mathematics
ISBN: 1000725863

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Spectral Methods Using Multivariate Polynomials on the Unit Ball is a research level text on a numerical method for the solution of partial differential equations. The authors introduce, illustrate with examples, and analyze 'spectral methods' that are based on multivariate polynomial approximations. The method presented is an alternative to finite element and difference methods for regions that are diffeomorphic to the unit disk, in two dimensions, and the unit ball, in three dimensions. The speed of convergence of spectral methods is usually much higher than that of finite element or finite difference methods. Features Introduces the use of multivariate polynomials for the construction and analysis of spectral methods for linear and nonlinear boundary value problems Suitable for researchers and students in numerical analysis of PDEs, along with anyone interested in applying this method to a particular physical problem One of the few texts to address this area using multivariate orthogonal polynomials, rather than tensor products of univariate polynomials.


Shape-Preserving Approximation by Real and Complex Polynomials

Shape-Preserving Approximation by Real and Complex Polynomials
Author: Sorin G. Gal
Publisher: Springer Science & Business Media
Total Pages: 359
Release: 2010-06-09
Genre: Mathematics
ISBN: 0817647031

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First comprehensive treatment in book form of shape-preserving approximation by real or complex polynomials in one or several variables Of interest to grad students and researchers in approximation theory, mathematical analysis, numerical analysis, Computer Aided Geometric Design, robotics, data fitting, chemistry, fluid mechanics, and engineering Contains many open problems to spur future research Rich and updated bibliography


Interpolation and Approximation by Polynomials

Interpolation and Approximation by Polynomials
Author: George M. Phillips
Publisher: Springer Science & Business Media
Total Pages: 325
Release: 2006-04-06
Genre: Mathematics
ISBN: 0387216820

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In addition to coverage of univariate interpolation and approximation, the text includes material on multivariate interpolation and multivariate numerical integration, a generalization of the Bernstein polynomials that has not previously appeared in book form, and a greater coverage of Peano kernel theory than is found in most textbooks. There are many worked examples and each section ends with a number of carefully selected problems that extend the student's understanding of the text. The author is well known for his clarity of writing and his many contributions as a researcher in approximation theory.


2016 MATRIX Annals

2016 MATRIX Annals
Author: Jan de Gier
Publisher: Springer
Total Pages: 667
Release: 2018-04-10
Genre: Mathematics
ISBN: 3319722999

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MATRIX is Australia’s international, residential mathematical research institute. It facilitates new collaborations and mathematical advances through intensive residential research programs, each lasting 1-4 weeks. This book is a scientific record of the five programs held at MATRIX in its first year, 2016: - Higher Structures in Geometry and Physics - Winter of Disconnectedness - Approximation and Optimisation - Refining C*-Algebraic Invariants for Dynamics using KK-theory - Interactions between Topological Recursion, Modularity, Quantum Invariants and Low- dimensional Topology The MATRIX Scientific Committee selected these programs based on their scientific excellence and the participation rate of high-profile international participants. Each program included ample unstructured time to encourage collaborative research; some of the longer programs also included an embedded conference or lecture series. The articles are grouped into peer-reviewed contributions and other contributions. The peer-reviewed articles present original results or reviews on selected topics related to the MATRIX program; the remaining contributions are predominantly lecture notes based on talks or activities at MATRIX.


Sparse Polynomial Approximation of High-Dimensional Functions

Sparse Polynomial Approximation of High-Dimensional Functions
Author: Ben Adcock
Publisher: Society for Industrial and Applied Mathematics (SIAM)
Total Pages: 0
Release: 2021
Genre: Approximation theory
ISBN: 9781611976878

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"This is a book about polynomial approximation in high dimensions"--