In this paper we apply the selection and optimization technique of Frederickson and Johnson to a number of geometric selection and optimization problems, some of which have previously been solved by parametric search, and provide efficient and simple algorithms. Our technique improves the solutions obtained by parametric search by a log n factor. For example, we apply the technique to the two-line center problem, where we want to find two strips that cover a given set S of n points in the plane, so as to minimize the width of the largest of the two strips. Key words: computational geometry, algorithm, selection, optimization, two-line center. A version of this paper appeared in Fourth Workshop on Algorthms and Data Structures, S.G. Akl, F. ...
Geometric algorithms and combinatorial optimization / Martin Grötschel ; László Lovász ; Alexander S...
A geometric approach to analyze and solve multiple objective linear programming problems is develope...
A geometric approach to analyze and solve multiple objective linear programming problems is develope...
AbstractIn this paper we apply the selection and optimization technique of Frederickson and Johnson ...
AbstractIn this paper we apply the selection and optimization technique of Frederickson and Johnson ...
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...
We review the recent progress in the design of efficient algorithms for various problems in geometri...
We present several applications in computational geometry of Megiddo's parametric searching tec...
. We review the recent progress in the design of ecient algorithms for various problems in geometric...
Many problems can be formulated as the optimization of functions in R 2 which are implicitly defined...
Our purpose here is to study problems involving geometric optimization, namely, questions of the ty...
The high computational complexity of the combinatorial optimization methods, the difference of the c...
Computational geometry has developed many efficient algorithms for geometric problems in low dimensi...
Geometric algorithms and combinatorial optimization / Martin Grötschel ; László Lovász ; Alexander S...
Geometric algorithms and combinatorial optimization / Martin Grötschel ; László Lovász ; Alexander S...
A geometric approach to analyze and solve multiple objective linear programming problems is develope...
A geometric approach to analyze and solve multiple objective linear programming problems is develope...
AbstractIn this paper we apply the selection and optimization technique of Frederickson and Johnson ...
AbstractIn this paper we apply the selection and optimization technique of Frederickson and Johnson ...
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...
We review the recent progress in the design of efficient algorithms for various problems in geometri...
We present several applications in computational geometry of Megiddo's parametric searching tec...
. We review the recent progress in the design of ecient algorithms for various problems in geometric...
Many problems can be formulated as the optimization of functions in R 2 which are implicitly defined...
Our purpose here is to study problems involving geometric optimization, namely, questions of the ty...
The high computational complexity of the combinatorial optimization methods, the difference of the c...
Computational geometry has developed many efficient algorithms for geometric problems in low dimensi...
Geometric algorithms and combinatorial optimization / Martin Grötschel ; László Lovász ; Alexander S...
Geometric algorithms and combinatorial optimization / Martin Grötschel ; László Lovász ; Alexander S...
A geometric approach to analyze and solve multiple objective linear programming problems is develope...
A geometric approach to analyze and solve multiple objective linear programming problems is develope...