Computing correlation between piecewise-linear functions

Journal Article (Journal Article)

We study the problem of computing correlation between two piecewise-linear bivariate functions defined over a common domain, where the surfaces they define in three dimensions - polyhedral terrains - can be transformed vertically by a linear transformation of the third coordinate (scaling and translation). We present a randomized algorithm that minimizes the maximum vertical distance between the graphs of the two functions, over all linear transformations of one of the terrains, in O(n polylog n) expected time, where n is the total number of vertices in the graphs of the two functions. We also present approximation algorithms for minimizing the mean distance between the graphs of univariate and bivariate functions. For univariate functions we present a (1 + ε)-approximation algorithm that runs in O(n(1 + log (1/ε))) expected time for any fixed ε > 0. The (1 + ε)-approximation algorithm for bivariate functions runs in O(n/ε) time, for any fixed ε > 0, provided the two functions are defined over the same triangulation of their domain. © 2013 Society for Industrial and Applied Mathematics. 4/3 2

Full Text

Duke Authors

Cited Authors

  • Agarwal, PK; Aronov, B; Van Kreveld, M; Löffler, M; Silveira, RI

Published Date

  • December 26, 2013

Published In

Volume / Issue

  • 42 / 5

Start / End Page

  • 1867 - 1887

International Standard Serial Number (ISSN)

  • 0097-5397

Digital Object Identifier (DOI)

  • 10.1137/120900708

Citation Source

  • Scopus