We present several applications in computational geometry of Megiddo's parametric searching technique. These applications include: (1) Finding the minimum Hausdorff distance in the Euclidean metric between two polygonal regions under translation; (2) Computing the biggest line segment that can be placed inside a simple polygon; (3) Computing the smallest width annulus that contains a given set of given points in the plane; (4) Given a set of n points in 3-space, finding the largest radius r such that if we place a ball of radius r around each point, no segment connecting a pair of points is intersected by a third ball. Besides obtaining efficient solutions to all these problems (which, in every case, either improve considerably previou...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present a general technique, based on parametric search with some twist, for solving a variety of...
We review the recent progress in the design of efficient algorithms for various problems in geometri...
We review the recent progress in the design of efficient algorithms for various prob-lems in geometr...
The parametric minimax problem, which finds the parameter value minimizing the weight of a solution ...
We review the recent progress in the design of efficient algorithms for various problems in geometri...
The paper provides a brief historical analysis of problems that use the Hausdorff distance; provides...
The paper provides a brief historical analysis of problems that use the Hausdorff distance; provides...
. We review the recent progress in the design of ecient algorithms for various problems in geometric...
In this paper we apply the selection and optimization technique of Frederickson and Johnson to a num...
Parametric search, invented by Nimrod Megiddo in 1983, is a complex yet powerful technique for solvi...
AbstractIn this paper we apply the selection and optimization technique of Frederickson and Johnson ...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present a general technique, based on parametric search with some twist, for solving a variety of...
We review the recent progress in the design of efficient algorithms for various problems in geometri...
We review the recent progress in the design of efficient algorithms for various prob-lems in geometr...
The parametric minimax problem, which finds the parameter value minimizing the weight of a solution ...
We review the recent progress in the design of efficient algorithms for various problems in geometri...
The paper provides a brief historical analysis of problems that use the Hausdorff distance; provides...
The paper provides a brief historical analysis of problems that use the Hausdorff distance; provides...
. We review the recent progress in the design of ecient algorithms for various problems in geometric...
In this paper we apply the selection and optimization technique of Frederickson and Johnson to a num...
Parametric search, invented by Nimrod Megiddo in 1983, is a complex yet powerful technique for solvi...
AbstractIn this paper we apply the selection and optimization technique of Frederickson and Johnson ...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present an alternative to parametric search that applies to both the nongeodesic and geodesic Fré...
We present a general technique, based on parametric search with some twist, for solving a variety of...