Add to ORKGWe present an approach to simulate divide-and-conquer algorithms in a space-efficient way, and illustrate it by giving space-efficient algorithms for the closest-pair, bichromatic closest-pair, all-nearest-neighbors, and orthogonal line segment intersection problems.German Academic Exchange Service (DAAD
28th International Symposium on Computer and Information Sciences (ISCIS) -- OCT 28-29, 2013 -- Inst...
This dissertation develops and studies fast algorithms for solving closest point problems. Algorithm...
Let E be a set of n objects in fixed dimension d. We assume that each element of E has diameter smal...
AbstractWe develop a number of space-efficient tools including an approach to simulate divide-and-co...
We present an approach to simulate divide-and-conquer algorithms in a space-efficient way, and illus...
We develop a number of space-efficient tools including an approach to simulate divide-and-conquer sp...
We develop a number of space-efficient tools including an approach to simulate divide-and-conquer sp...
We develop a number of space-efficient tools including an approach to simulate divide-and-conquer sp...
One of the most challenging problems in computational geometry is closest pair of points given n poi...
We introduce space-efficient plane-sweep algorithms for basic planar geometric problems. It is assum...
In this paper we show that if the input points to the geometric closest pair problem are given with ...
We present an engineered version of the divide-and-conquer algorithm for finding the clos-est pair o...
We investigate a divide-and-conquer technique in multidimensional space which decomposes a geometric...
Consider a metric space (P, dist) with N points whose doubling dimension is a constant. We present a...
AbstractWe present a space-efficient algorithm for reporting all k intersections induced by a set of...
28th International Symposium on Computer and Information Sciences (ISCIS) -- OCT 28-29, 2013 -- Inst...
This dissertation develops and studies fast algorithms for solving closest point problems. Algorithm...
Let E be a set of n objects in fixed dimension d. We assume that each element of E has diameter smal...
AbstractWe develop a number of space-efficient tools including an approach to simulate divide-and-co...
We present an approach to simulate divide-and-conquer algorithms in a space-efficient way, and illus...
We develop a number of space-efficient tools including an approach to simulate divide-and-conquer sp...
We develop a number of space-efficient tools including an approach to simulate divide-and-conquer sp...
We develop a number of space-efficient tools including an approach to simulate divide-and-conquer sp...
One of the most challenging problems in computational geometry is closest pair of points given n poi...
We introduce space-efficient plane-sweep algorithms for basic planar geometric problems. It is assum...
In this paper we show that if the input points to the geometric closest pair problem are given with ...
We present an engineered version of the divide-and-conquer algorithm for finding the clos-est pair o...
We investigate a divide-and-conquer technique in multidimensional space which decomposes a geometric...
Consider a metric space (P, dist) with N points whose doubling dimension is a constant. We present a...
AbstractWe present a space-efficient algorithm for reporting all k intersections induced by a set of...
28th International Symposium on Computer and Information Sciences (ISCIS) -- OCT 28-29, 2013 -- Inst...
This dissertation develops and studies fast algorithms for solving closest point problems. Algorithm...
Let E be a set of n objects in fixed dimension d. We assume that each element of E has diameter smal...