Abstract. It is demonstrated hat he linear programming problem in d variables and n constraints can be solved in O(n) time when d is fixed. This bound follows from a multidimensional search technique which is applicable for quadratic programming aswell. There is also developed an algorithm that is polynomial inboth n and d provided is bounded by a certain slowly growing function of n
We study the problem of finding a set of constraints of minimum cardinality which when relaxed in an...
Abstract: Discrete time linear quadratic optimization problem with time delay and system constraint...
AbstractThe complexity of linear programming and other problems in the geometry of d-dimensions is s...
Linear programming has many important practical applications, and has also given rise to a wide body...
Two decades ago, Megiddo and Dyer showed that linear programming in two and three dimensions (and su...
This paper gives an algorithm for solving linear programming problems. For a problem with n constrai...
For any futed dimension d, the linear programming problem with IZ inequality con-straints can be sol...
We show that with recently developed derandomization tech-niques, one can convert Clarkson’s randomi...
We describe an approach for answering linear programming queries with respect to a set of $n$ linear...
A solution procedure for linear programs with one convex quadratic constraint is suggested. The meth...
The problem of integer programming in bounded variables, over constraints with no more than twovari...
Summary form only given. Integer programming is the problem of maximizing a linear function over the...
A large class of separable quadratic programming problems is presented. The problems in the class c...
International audienceThe search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integ...
We consider the general feasibility problem for semidefinite programming: Determine whether a given ...
We study the problem of finding a set of constraints of minimum cardinality which when relaxed in an...
Abstract: Discrete time linear quadratic optimization problem with time delay and system constraint...
AbstractThe complexity of linear programming and other problems in the geometry of d-dimensions is s...
Linear programming has many important practical applications, and has also given rise to a wide body...
Two decades ago, Megiddo and Dyer showed that linear programming in two and three dimensions (and su...
This paper gives an algorithm for solving linear programming problems. For a problem with n constrai...
For any futed dimension d, the linear programming problem with IZ inequality con-straints can be sol...
We show that with recently developed derandomization tech-niques, one can convert Clarkson’s randomi...
We describe an approach for answering linear programming queries with respect to a set of $n$ linear...
A solution procedure for linear programs with one convex quadratic constraint is suggested. The meth...
The problem of integer programming in bounded variables, over constraints with no more than twovari...
Summary form only given. Integer programming is the problem of maximizing a linear function over the...
A large class of separable quadratic programming problems is presented. The problems in the class c...
International audienceThe search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integ...
We consider the general feasibility problem for semidefinite programming: Determine whether a given ...
We study the problem of finding a set of constraints of minimum cardinality which when relaxed in an...
Abstract: Discrete time linear quadratic optimization problem with time delay and system constraint...
AbstractThe complexity of linear programming and other problems in the geometry of d-dimensions is s...