71 citations · 151 across the 51 of their papers we have counts for
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math.OC2014★ 1 cited
An Inequality Constrained SL/QP Method for Minimizing the Spectral Abscissa
Vyacheslav Kungurtsev, Wim Michiels, Moritz Diehl
We consider a problem in eigenvalue optimization, in particular finding a local minimizer of the spectral abscissa - the value of a parameter that results in the smallest value of…
cs.DC2014★ 71 cited
Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization
Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev +1
We propose a decomposition framework for the parallel optimization of the sum of a differentiable {(possibly nonconvex)} function and a nonsmooth (possibly nonseparable), convex on…