activity
20072022
most citedNon-monotone submodular maximization under matroid and knapsack constraints

117 citations · 170 across the 8 of their papers we have counts for

collaborators

8 papers

math.OC2022★ 1 cited

On SOCP-based disjunctive cuts for solving a class of integer bilevel nonlinear programs

Elisabeth Gaar, Jon Lee, Ivana Ljubić +2

We study a class of integer bilevel programs with second-order cone constraints at the upper-level and a convex-quadratic objective function and linear constraints at the lower-lev…

math.OC2021★ 2 cited

SOCP-based disjunctive cuts for a class of integer nonlinear bilevel programs

Elisabeth Gaar, Jon Lee, Ivana Ljubić +2

We study a class of bilevel integer programs with second-order cone constraints at the upper level and a convex quadratic objective and linear constraints at the lower level. We de…

math.OC2014★ 37 cited

On Augmentation Algorithms for Linear and Integer-Linear Programming: From Edmonds-Karp to Bland and Beyond

Jesus A. De Loera, Raymond Hemmecke, Jon Lee

Motivated by Bland's linear-programming generalization of the renowned Edmonds-Karp efficient refinement of the Ford-Fulkerson maximum-flow algorithm, we discuss three closely-rela…

math.OC2010

Intractability of approximate multi-dimensional nonlinear optimization on independence systems

Jon Lee, Shmuel Onn, Robert Weismantel

We consider optimization of nonlinear objective functions that balance linear criteria over -element independence systems presented by linear-optimization oracles. For …

cs.CC2009★ 117 cited

Non-monotone submodular maximization under matroid and knapsack constraints

Jon Lee, Vahab Mirrokni, Viswanath Nagarjan +1

Submodular function maximization is a central problem in combinatorial optimization, generalizing many important problems including Max Cut in directed/undirected graphs and in hyp…

math.CO2008★ 6 cited

Nonlinear optimization for matroid intersection and extensions

Yael Berstein, Jon Lee, Shmuel Onn +1

We address optimization of nonlinear functions of the form , where is a nonlinear function, is a matrix, and feasible are in some large fi…