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MP
2011
14 years 4 months ago
Smoothed analysis of condition numbers and complexity implications for linear programming
We perform a smoothed analysis of Renegar’s condition number for linear programming by analyzing the distribution of the distance to ill-posedness of a linear program subject to...
John Dunagan, Daniel A. Spielman, Shang-Hua Teng
STOC
2004
ACM
102views Algorithms» more  STOC 2004»
15 years 10 months ago
A simple polynomial-time rescaling algorithm for solving linear programs
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy method for finding a feasible solution to a linear program (alternatively, for le...
John Dunagan, Santosh Vempala
CODES
2005
IEEE
15 years 3 months ago
An integer linear programming approach for identifying instruction-set extensions
This paper presents an Integer Linear Programming (ILP) approach to the instruction-set extension identification problem. An algorithm that iteratively generates and solves a set...
Kubilay Atasu, Günhan Dündar, Can C. &Ou...
FOCS
1990
IEEE
15 years 1 months ago
Parallel Linear Programming in Fixed Dimension Almost Surely in Constant Time
For any xed dimension d, the linear programming problem with n inequality constraints can be solved on a probabilistic CRCW PRAM with O(n) processors almost surely in constant time...
Noga Alon, Nimrod Megiddo
MP
2007
142views more  MP 2007»
14 years 9 months ago
Active-constraint variable ordering for faster feasibility of mixed integer linear programs
The selection of the branching variable can greatly affect the speed of the branch and bound solution of a mixed-integer or integer linear program. Traditional approaches to branc...
Jagat Patel, John W. Chinneck