We introduce a new technique called oblivious rounding-a variant of randomized rounding that avoids the bottleneck of first solving the linear program. Avoiding this bottle-neck yields more efficient algorithms and brings probabilistic methods to bear on a new class of problems. We give obliv-ious rounding algorithms that approximately solve general packing and covering problems, including a parallel algo-rithm to find sparse strategies for matrix games
Abstract Following previous theoretical work by Srinivasan (FOCS 2001) and the first author (STACS 2...
Rounding a real-valued matrix to an integer one such that the rounding errors in all rows and column...
A problem arising in integer linear programming is transforming a solution of a linear system to an ...
We give a general method for rounding linear programs that combines the commonly used iterated round...
Several important NP-hard combinatorial optimization problems can be posed as packing/covering integ...
Several important NP-hard combinatorial optimization problems can be posed as packing/covering integ...
We provide a general method to generate randomized roundings that satisfy cardinality constraints. O...
Motivated by an application from image processing (Asano et al., SODA 2002), we investigate the prob...
Rounding linear programs using techniques from discrepancy is a recent approach that has been very s...
We give new approximation algorithms for packing integer programs (PIPs) by employing the method of ...
Introduction We have already seen some uses of randomization in the design of on-line algorithms. I...
The purpose of this text is to provide an accessible introduction to a set of recently developed alg...
Abstract. Rounding a real-valued matrix to an integer one such that the rounding errors in all rows ...
The following paradigm is often used for handling NP-hard combinatorial optimization problems. One f...
Abstract Following previous theoretical work by Srinivasan (FOCS 2001) and the first author (STACS 2...
Rounding a real-valued matrix to an integer one such that the rounding errors in all rows and column...
A problem arising in integer linear programming is transforming a solution of a linear system to an ...
We give a general method for rounding linear programs that combines the commonly used iterated round...
Several important NP-hard combinatorial optimization problems can be posed as packing/covering integ...
Several important NP-hard combinatorial optimization problems can be posed as packing/covering integ...
We provide a general method to generate randomized roundings that satisfy cardinality constraints. O...
Motivated by an application from image processing (Asano et al., SODA 2002), we investigate the prob...
Rounding linear programs using techniques from discrepancy is a recent approach that has been very s...
We give new approximation algorithms for packing integer programs (PIPs) by employing the method of ...
Introduction We have already seen some uses of randomization in the design of on-line algorithms. I...
The purpose of this text is to provide an accessible introduction to a set of recently developed alg...
Abstract. Rounding a real-valued matrix to an integer one such that the rounding errors in all rows ...
The following paradigm is often used for handling NP-hard combinatorial optimization problems. One f...
Abstract Following previous theoretical work by Srinivasan (FOCS 2001) and the first author (STACS 2...
Rounding a real-valued matrix to an integer one such that the rounding errors in all rows and column...
A problem arising in integer linear programming is transforming a solution of a linear system to an ...