Gill, P.E., Kungurtsev, V., Robinson, D.P. 2017 A stabilized SQP Method: Global Convergence, detail
Suwartadi, E., Kungurtsev, V., Jäschke, J. 2017 Sensitivity-Based Economic NMPC with a Path-Following Approach, detail
Kungurtsev, V., Pilbauer, D., Vyhlídal, T., Hromčík, M., Michiels, W. 2017 Input Shaper Optimization with a Constraint on the Spectrum Distribution, detail
Kungurtsev, V., Jäschke, J. 2017 A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems, detail
Gill, P.E., Kungurtsev, V., Robinson, D.P. 2016 A stabilized SQP Method: Global Convergence, detail
Gill, P.E., Kungurtsev, V., Robinson, D.P. 2016 A stabilized SQP Method: Superlinear Convergence, detail
Kungurtsev, V., Pevný, T. 2016 Algorithms for Solving Optimization Problems Arsing from Deep Neural Net Models: Smooth Problems, detail
Daneshmand, A., Facchinei, F., Kungurtsev, V., Scutari, G. 2015 Hybrid Random/Deterministic Parallel Algorithms for Convex and Nonconvex Big Data Optimization, detail
Kungurtsev, V., Diehl, M. 2014 Sequential Quadratic Programming Methods for Parametric Nonlinear Optimization, detail
Daneshmand, A., Facchinei, F., Kungurtsev, V., Scutari, G. 2014 Flexible Selective Parallel Algorithms for Big Data Optimization, detail
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