Add to ORKGThe authors present a randomized simplex algorithm for solving LP Problems, which has polynomial (into number of bits of the input representation) running time, with high probability. The algorithm they propose is the first randomized algorithm of Simplex method, that solves in poly
In the rst part of the paper we survey some far-reaching applications of the basic facts of linear p...
The smoothed analysis of algorithms is concerned with the expected running time of an algor...
P(論文)Since G.B.Dantzig proposed Simplex Method for solving the linear programming problems, a lot of...
Abstract. Recent years have brought some progress in the knowledge of the complexity of linear progr...
We investigate the behavior of randomized simplex algorithms on special linear programs. For this, w...
An algorithm for solving linearly constrained general convex quadratic problems is proposed *. The e...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
Available from British Library Document Supply Centre- DSC:7769.555(LU-SCS-RR--88/6) / BLDSC - Briti...
In the first part of the paper we survey some far reaching applications of the basis facts of linear...
Abstract—The simplex method is perhaps the most widely used method for solving linear programming (L...
Below we adapt some randomized algorithms of Welzl [10] and Clarkson [3] for linear programming to t...
We show that a variant of the random-edge pivoting rule results in a strongly polynomial time simple...
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy me...
. A randomized algorithm for finding a hyperplane separating two finite point sets in the Euclidean ...
AbstractUsing predicate logic, the concept of a linear problem is formalized. The class of linear pr...
In the rst part of the paper we survey some far-reaching applications of the basic facts of linear p...
The smoothed analysis of algorithms is concerned with the expected running time of an algor...
P(論文)Since G.B.Dantzig proposed Simplex Method for solving the linear programming problems, a lot of...
Abstract. Recent years have brought some progress in the knowledge of the complexity of linear progr...
We investigate the behavior of randomized simplex algorithms on special linear programs. For this, w...
An algorithm for solving linearly constrained general convex quadratic problems is proposed *. The e...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
Available from British Library Document Supply Centre- DSC:7769.555(LU-SCS-RR--88/6) / BLDSC - Briti...
In the first part of the paper we survey some far reaching applications of the basis facts of linear...
Abstract—The simplex method is perhaps the most widely used method for solving linear programming (L...
Below we adapt some randomized algorithms of Welzl [10] and Clarkson [3] for linear programming to t...
We show that a variant of the random-edge pivoting rule results in a strongly polynomial time simple...
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy me...
. A randomized algorithm for finding a hyperplane separating two finite point sets in the Euclidean ...
AbstractUsing predicate logic, the concept of a linear problem is formalized. The class of linear pr...
In the rst part of the paper we survey some far-reaching applications of the basic facts of linear p...
The smoothed analysis of algorithms is concerned with the expected running time of an algor...
P(論文)Since G.B.Dantzig proposed Simplex Method for solving the linear programming problems, a lot of...