Multivariate Spline Approximation

Abstract

We started out with the goal of understanding approximation order in a multivariate context, including the approximation of surfaces. In addition, we wanted to understand better the use and analysis of our approach to multivariate polynomial interpolation. We ended up concentrating on approximation from shift- invariant spaces of functions on IR real space. Here, S is shift-invariant if f is an element S implies that also f(. - alpha) is an element S for any integer vector alpha. The simple, yet widely applicable, model we considered concerns the behavior, as H approaches 0, of the distance between f and s of a (suitably smooth) f from the scaled space S sub h := (f(./h) : f is an element S sub h), with each S sub h a shift-invariant space. Examples of such spaces are provided by finite elements on a regular grid, in particular, box spline spaces, also the spaces which make up the multiresolution analysis generated by wavelets.

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Document Details

Document Type
Technical Report
Publication Date
Dec 22, 1993
Accession Number
ADA276034

Entities

People

  • Amos Ron
  • Carl R. de Boor

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Construction
  • Fourier Analysis
  • Interpolation
  • Mathematical Analysis
  • Mathematics
  • Military Research
  • New York
  • Observation
  • Polynomials
  • Scientists
  • Sequences
  • Students
  • Universities
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Linear Algebra
  • Neural Network Machine Learning.
  • Theoretical Analysis.

Technology Areas

  • Space