— We present a fast GPU-based algorithm to approximate the Swept Volume (SV) boundary of arbitrary polygon soup models. Despite the extensive research on calculating the volume s...
Jesse C. Himmelstein, Etienne Ferre, Jean-Paul Lau...
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
The task of determining the approximate greatest common divisor (GCD) of more than two univariate polynomials with inexact coefficients can be formulated as computing for a given B...
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...