Abstract
In this paper we show how certain geometric convolution operations can be computed efficiently. Here "efficiently" means that our algorithms have running time proportional to the input size plus the output size. Our convolution algorithms rely on new optimal solutions for certain reciprocal search problems, such as finding intersections between "blue" and "green" intervals, and overlaying convex planar subdivisions. © 1987 Springer-Verlag New York Inc.
Cite
CITATION STYLE
Guibas, L. J., & Seidel, R. (1987). Computing convolutions by reciprocal search. Discrete & Computational Geometry, 2(1), 175–193. https://doi.org/10.1007/BF02187878
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.