Add to ORKGProbabilistic analysis of two complexity measures for linear programming problem
AbstractWe study the probabilistic (ϵ, δ)-complexity for linear problems equipped with Gaussian meas...
The thesis applies the ICC tecniques to the probabilistic polinomial complexity classes in order to ...
The thesis applies the ICC tecniques to the probabilistic polinomial complexity classes in order to ...
Incorporating Condition Measures into the Complexity Theory of Linear Programmin
AbstractWe study the probabilistic setting of information-based complexity for bounded domains and d...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
AbstractIn this paper we introduce a general method of establishing tight linear inequalities betwee...
We consider the problem of finding an −optimal solution of a standard linear pro-gram with real data...
AbstractIn this paper we address the complexity of solving linear programming problems with a set of...
We consider the problem of finding an ε{lunate}-optimal solution of a standard linear program with ...
In this paper we address the complexity of solving linear programming problems with a set of differe...
AbstractThe power of probabilistic linear decision trees is examined. It is shown that the standard ...
Abstract. Recent years have brought some progress in the knowledge of the complexity of linear progr...
SIGLEAvailable from British Library Document Supply Centre- DSC:9106.1605(CU-DAMTP-NA--12/1991) / BL...
AbstractWe consider the problem of finding an ε-optimal solution of a standard linear program with r...
AbstractWe study the probabilistic (ϵ, δ)-complexity for linear problems equipped with Gaussian meas...
The thesis applies the ICC tecniques to the probabilistic polinomial complexity classes in order to ...
The thesis applies the ICC tecniques to the probabilistic polinomial complexity classes in order to ...
Incorporating Condition Measures into the Complexity Theory of Linear Programmin
AbstractWe study the probabilistic setting of information-based complexity for bounded domains and d...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
AbstractIn this paper we introduce a general method of establishing tight linear inequalities betwee...
We consider the problem of finding an −optimal solution of a standard linear pro-gram with real data...
AbstractIn this paper we address the complexity of solving linear programming problems with a set of...
We consider the problem of finding an ε{lunate}-optimal solution of a standard linear program with ...
In this paper we address the complexity of solving linear programming problems with a set of differe...
AbstractThe power of probabilistic linear decision trees is examined. It is shown that the standard ...
Abstract. Recent years have brought some progress in the knowledge of the complexity of linear progr...
SIGLEAvailable from British Library Document Supply Centre- DSC:9106.1605(CU-DAMTP-NA--12/1991) / BL...
AbstractWe consider the problem of finding an ε-optimal solution of a standard linear program with r...
AbstractWe study the probabilistic (ϵ, δ)-complexity for linear problems equipped with Gaussian meas...
The thesis applies the ICC tecniques to the probabilistic polinomial complexity classes in order to ...
The thesis applies the ICC tecniques to the probabilistic polinomial complexity classes in order to ...