National Science Library of Georgia

Image from Google Jackets

Spline functions on triangulations / Ming-Jun Lai and Larry L. Schumaker.

By: Contributor(s): Material type: TextTextSeries: Encyclopedia of mathematics and its applications ; v. 110.Publisher: Cambridge : Cambridge University Press, 2007Description: 1 online resource (xv, 592 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511721588 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 511.422 22
LOC classification:
  • QA224 .L35 2007
Online resources:
Contents:
Bivariate polynomials -- Bernstein-Bézier methods for bivariate polynomials -- B-patches -- Triangulations and quadrangulations -- Bernstein-Bézier methods for Spline spaces -- C¹ macro-element spaces -- C² macro-element spaces -- Cr macro-element spaces -- Dimension of Spline spaces -- Approimation power of Spline spaces -- Stable local minimal determining sets -- Bivariate box Splines -- Spherical Splines -- Approximation power of spherical Splines -- Trivariate polynomials -- Tetrahedral partitions -- Trivariate Splines -- Trivariate macro-element spaces.
Summary: Spline functions are universally recognized as highly effective tools in approximation theory, computer-aided geometric design, image analysis, and numerical analysis. The theory of univariate splines is well known but this text is the first comprehensive treatment of the analogous bivariate theory. A detailed mathematical treatment of polynomial splines on triangulations is outlined, providing a basis for developing practical methods for using splines in numerous application areas. The detailed treatment of the Bernstein-Bézier representation of polynomials will provide a valuable source for researchers and students in CAGD. Chapters on smooth macro-element spaces will allow engineers and scientists using the FEM method to solve partial differential equations numerically with new tools. Workers in the geosciences will find new tools for approximation and data fitting on the sphere. Ideal as a graduate text in approximation theory, and as a source book for courses in computer-aided geometric design or in finite-element methods.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Bivariate polynomials -- Bernstein-Bézier methods for bivariate polynomials -- B-patches -- Triangulations and quadrangulations -- Bernstein-Bézier methods for Spline spaces -- C¹ macro-element spaces -- C² macro-element spaces -- Cr macro-element spaces -- Dimension of Spline spaces -- Approimation power of Spline spaces -- Stable local minimal determining sets -- Bivariate box Splines -- Spherical Splines -- Approximation power of spherical Splines -- Trivariate polynomials -- Tetrahedral partitions -- Trivariate Splines -- Trivariate macro-element spaces.

Spline functions are universally recognized as highly effective tools in approximation theory, computer-aided geometric design, image analysis, and numerical analysis. The theory of univariate splines is well known but this text is the first comprehensive treatment of the analogous bivariate theory. A detailed mathematical treatment of polynomial splines on triangulations is outlined, providing a basis for developing practical methods for using splines in numerous application areas. The detailed treatment of the Bernstein-Bézier representation of polynomials will provide a valuable source for researchers and students in CAGD. Chapters on smooth macro-element spaces will allow engineers and scientists using the FEM method to solve partial differential equations numerically with new tools. Workers in the geosciences will find new tools for approximation and data fitting on the sphere. Ideal as a graduate text in approximation theory, and as a source book for courses in computer-aided geometric design or in finite-element methods.

There are no comments on this title.

to post a comment.
Copyright © 2023 Sciencelib.ge All rights reserved.