neal young / Koufogiannakis13Nearly
Algorithmica 70(4):648-674(2014); FOCS'07We give an approximation algorithm for packing and covering linear programs (linear programs with non-negative coefficients). Given a constraint matrix with \(N\) non-zeros, \(r\) rows, and \(c\) columns, the algorithm (with high probability) computes feasible primal and dual solutions whose costs are within a factor of \(1+\epsilon\) of the optimal cost in time \(O((r+c)\log(N)/\epsilon^2 + N)\).Journal version of .
© Copyrights are reserved by the publishers.
Download for personal and limited academic use only.