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On Simulated Annealing and the Construction of Linear Spline Approximations for Scattered Data

Published: 01 January 2001 Publication History

Abstract

We describe a method to create optimal linear spline approximations to arbitrary functions of one or two variables, given as scattered data without known connectivity. We start with an initial approximation consisting of a fixed number of vertices and improve this approximation by choosing different vertices, governed by a simulated annealing algorithm. In the case of one variable, the approximation is defined by line segments; in the case of two variables, the vertices are connected to define a Delaunay triangulation of the selected subset of sites in the plane. In a second version of this algorithm, specifically designed for the bivariate case, we choose vertex sets and also change the triangulation to achieve both optimal vertex placement and optimal triangulation. We then create a hierarchy of linear spline approximations, each one being a superset of all lower-resolution ones.

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cover image IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics  Volume 7, Issue 1
January 2001
96 pages

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IEEE Educational Activities Department

United States

Publication History

Published: 01 January 2001

Author Tags

  1. Function approximation
  2. data-dependent triangulation.
  3. linear splines
  4. multiresolution approximation
  5. simulated annealing

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