We perform linear programming optimizations on the intersection of k polyhedra in R^3, represented by their outer recursive decompositions, in expected time O(k log k log n + [square root of] k log k log^3 n). We use this result to derive efficient algorithms for dynamic linear programming problems in which constraints are inserted and deleted, and queries must optimize specified objective functions. As an application, we describe an improved solution to the planar 2-center and 2-median problems
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many me...
Consider the optimization (i.e. maximization or minimization) of a real valued function f defined o...
We propose a novel algorithm for solving multiparametric linear programming problems. Rather than vi...
We perform linear programming optimizations on the intersection of k polyhedra in R^3, represented b...
Dynamic algorithms are used to efficiently maintain solutions to problems where the input undergoes ...
AbstractWe show that several well-known optimization problems involving 3-dimensional convex polyhed...
Abstract—The problem of optimizing a linear objective func-tion, given a number of linear constraint...
Two decades ago, Megiddo and Dyer showed that linear programming in two and three dimensions (and su...
AbstractGiven n linear inequalities in three variables, we show how to construct a corresponding sph...
Abstract. It is demonstrated hat he linear programming problem in d variables and n constraints can ...
We present a deterministic algorithm for solving two-dimensional convex programs with a linear objec...
Linear programming has many important practical applications, and has also given rise to a wide body...
The multiple objective linear programming (MOLP) problem is to maximize several linear objectives ov...
Abstract. Dynamic programming is widely used for exact computations based on tree decompositions of ...
AbstractDynamic programming is a general problem-solving technique that has been widely used in vari...
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many me...
Consider the optimization (i.e. maximization or minimization) of a real valued function f defined o...
We propose a novel algorithm for solving multiparametric linear programming problems. Rather than vi...
We perform linear programming optimizations on the intersection of k polyhedra in R^3, represented b...
Dynamic algorithms are used to efficiently maintain solutions to problems where the input undergoes ...
AbstractWe show that several well-known optimization problems involving 3-dimensional convex polyhed...
Abstract—The problem of optimizing a linear objective func-tion, given a number of linear constraint...
Two decades ago, Megiddo and Dyer showed that linear programming in two and three dimensions (and su...
AbstractGiven n linear inequalities in three variables, we show how to construct a corresponding sph...
Abstract. It is demonstrated hat he linear programming problem in d variables and n constraints can ...
We present a deterministic algorithm for solving two-dimensional convex programs with a linear objec...
Linear programming has many important practical applications, and has also given rise to a wide body...
The multiple objective linear programming (MOLP) problem is to maximize several linear objectives ov...
Abstract. Dynamic programming is widely used for exact computations based on tree decompositions of ...
AbstractDynamic programming is a general problem-solving technique that has been widely used in vari...
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many me...
Consider the optimization (i.e. maximization or minimization) of a real valued function f defined o...
We propose a novel algorithm for solving multiparametric linear programming problems. Rather than vi...