A sweep-plane algorithm by Lawrence for convex polytope computation is adapted to generate random tuples on simple polytopes. In our method an affine hyperplane is swept through the given polytope until a random fraction (sampled from a proper univariate distribution) of the volume of the polytope is covered. Then the intersection of the plane with the polytope is a simple polytope with smaller dimension. In the second part we apply this method to construct a black-box algorithm for log-concave and T-concave multivariate distributions by means of transformed density rejection. (author's abstract)Series: Preprint Series / Department of Applied Statistics and Data Processin
We experimentally study the fundamental problem of computing the volume of a convex polytope given a...
In this paper a new algorithm to generate random simple polygons from a given set of points in a two...
The problem of randomly generating Q-convex sets is considered. We present two generators. The first...
ePubWU, the institutional repository of the WU Vienna University of Economics and Business, is provi...
The definition of random polytope adopted in this paper restricts consideration to those probability...
AbstractThe problem of generating “random” geometric objects is motivated by the need to generate te...
23 pagesInternational audienceThis article presents uniform random generators of plane partitions ac...
Different universal (also called automatic or black-box) methods have been suggested to sample from ...
It is well known that the generation of random vectors with non-independent components is difficult....
textabstractRandomly generated polytopes are used frequently to test and compare algorithms for a va...
AbstractIn this paper we have designed a randomized algorithm to generate a random polygon P from a ...
We propose an algorithm that generates a random polygon as a convex hull of n points uniformly and i...
Abstract. A random polytope, Kn, is the convex hull of n points chosen randomly, independently, and ...
Linear programming (LP) problems are commonly used in analysis and resource allocation, frequently s...
Applying the ratio-of-uniforms method for generating random variates results in very efficient, fast...
We experimentally study the fundamental problem of computing the volume of a convex polytope given a...
In this paper a new algorithm to generate random simple polygons from a given set of points in a two...
The problem of randomly generating Q-convex sets is considered. We present two generators. The first...
ePubWU, the institutional repository of the WU Vienna University of Economics and Business, is provi...
The definition of random polytope adopted in this paper restricts consideration to those probability...
AbstractThe problem of generating “random” geometric objects is motivated by the need to generate te...
23 pagesInternational audienceThis article presents uniform random generators of plane partitions ac...
Different universal (also called automatic or black-box) methods have been suggested to sample from ...
It is well known that the generation of random vectors with non-independent components is difficult....
textabstractRandomly generated polytopes are used frequently to test and compare algorithms for a va...
AbstractIn this paper we have designed a randomized algorithm to generate a random polygon P from a ...
We propose an algorithm that generates a random polygon as a convex hull of n points uniformly and i...
Abstract. A random polytope, Kn, is the convex hull of n points chosen randomly, independently, and ...
Linear programming (LP) problems are commonly used in analysis and resource allocation, frequently s...
Applying the ratio-of-uniforms method for generating random variates results in very efficient, fast...
We experimentally study the fundamental problem of computing the volume of a convex polytope given a...
In this paper a new algorithm to generate random simple polygons from a given set of points in a two...
The problem of randomly generating Q-convex sets is considered. We present two generators. The first...