1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
math.OC2012
Path-Following Gradient-Based Decomposition Algorithms For Separable Convex Optimization
Quoc Tran Dinh, Ion Necoara, Moritz Diehl
A new decomposition optimization algorithm, called \textit{path-following gradient-based decomposition}, is proposed to solve separable convex optimization problems. Unlike path-fo…
math.OC2012
An Inner Convex Approximation Algorithm for BMI Optimization and Applications in Control
Quoc Tran Dinh, Wim Michiels, Moritz Diehl
In this work, we propose a new local optimization method to solve a class of nonconvex semidefinite programming (SDP) problems. The basic idea is to approximate the feasible set of…