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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 di#erent 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... (Update)
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BibTeX entry: (Update)
O. Kreylos, B. Hamann. On Simulated Annealing and the Construction of Linear Spline Approximations for Scattered Data. Proceedings of the Joint EUROGRAPHICS-IEEE TVCG Symposium on Visualization, Vienna, Austria, May 1999, pp. 189-198. http://citeseer.ist.psu.edu/kreylos01simulated.html More
@article{ kreylos01simulated,
author = "O. Kreylos and B. Hamann",
title = "On Simulated Annealing and the Construction of Linear Spline Approximations for Scattered Data",
journal = "IEEE Transactions on Visualization and Computer Graphics",
volume = "7",
number = "1",
month = "\slash",
pages = "17--??",
year = "2001",
url = "citeseer.ist.psu.edu/kreylos01simulated.html" }
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