Abstract. Recent years have brought some progress in the knowledge of the complexity of linear programming in the unit cost model, and the best result known at this point is a randomized `combinatorial ' algorithm which solves a linear program over d variables and n constraints with expected O(d2n + eO(pd log d)
We consider the problem of finding an −optimal solution of a standard linear pro-gram with real data...
AbstractWe consider the problem of finding an ε-optimal solution of a standard linear program with r...
We develop a novel, fundamental and surprisingly simple randomized iterative method for solving cons...
We present a simple randomized algorithm which solves linear programs with n constraints and d varia...
An algorithm for solving linearly constrained general convex quadratic problems is proposed *. The e...
The authors present a randomized simplex algorithm for solving LP Problems, which has polynomial (in...
Available from British Library Document Supply Centre- DSC:7769.555(LU-SCS-RR--88/6) / BLDSC - Briti...
AbstractUsing predicate logic, the concept of a linear problem is formalized. The class of linear pr...
We propose a randomized method for solving linear programs with a large number of columns but a rela...
This paper gives an algorithm for solving linear programming problems. For a problem with n constrai...
Below we adapt some randomized algorithms of Welzl [10] and Clarkson [3] for linear programming to t...
. A randomized algorithm for finding a hyperplane separating two finite point sets in the Euclidean ...
We investigate the behavior of randomized simplex algorithms on special linear programs. For this, w...
We consider the problem of finding an ε{lunate}-optimal solution of a standard linear program with ...
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy me...
We consider the problem of finding an −optimal solution of a standard linear pro-gram with real data...
AbstractWe consider the problem of finding an ε-optimal solution of a standard linear program with r...
We develop a novel, fundamental and surprisingly simple randomized iterative method for solving cons...
We present a simple randomized algorithm which solves linear programs with n constraints and d varia...
An algorithm for solving linearly constrained general convex quadratic problems is proposed *. The e...
The authors present a randomized simplex algorithm for solving LP Problems, which has polynomial (in...
Available from British Library Document Supply Centre- DSC:7769.555(LU-SCS-RR--88/6) / BLDSC - Briti...
AbstractUsing predicate logic, the concept of a linear problem is formalized. The class of linear pr...
We propose a randomized method for solving linear programs with a large number of columns but a rela...
This paper gives an algorithm for solving linear programming problems. For a problem with n constrai...
Below we adapt some randomized algorithms of Welzl [10] and Clarkson [3] for linear programming to t...
. A randomized algorithm for finding a hyperplane separating two finite point sets in the Euclidean ...
We investigate the behavior of randomized simplex algorithms on special linear programs. For this, w...
We consider the problem of finding an ε{lunate}-optimal solution of a standard linear program with ...
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy me...
We consider the problem of finding an −optimal solution of a standard linear pro-gram with real data...
AbstractWe consider the problem of finding an ε-optimal solution of a standard linear program with r...
We develop a novel, fundamental and surprisingly simple randomized iterative method for solving cons...