neal young / Koufogiannakis13Nearly
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Algorithmica 70(4):648-674(2014); FOCS'07 We 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 [2007]. We 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 [2007].
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