GAMM 2018
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Ludwig Prandtl Memorial Lecture
MS | Minisymposia
PL | Plenary Lecture
PS | Poster Session
S | Sections
YRMS | Young Researchers Minisymposia
DFG-PP | GAMM related DFG Priority Programs
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Oral Presentation
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GAMM 2018
Wednesday – 03-21-2018
16:30
iCal
S16.04
Room:
N1070
Topic:
S16 | Optimization
Form of presentation:
Oral Presentation
Duration:
120 Minutes
16:30
Riemannian BFGS methods for low-rank matrix and tensor completion
Gennadij Heidel | Universität Trier | Germany
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Authors:
Gennadij Heidel | Universität Trier | Germany
PhD Wen Huang | Rice University
Prof. Volker Schulz | Universität Trier
Prof. Bart Vandereycken | University of Geneva
16:50
Newton-Secant type's method for solving the nonlinear least squares problem
Dr. Roman Iakymchuk | KTH Royal Institute of Technology | Sweden
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Authors:
Dr. Roman Iakymchuk | KTH Royal Institute of Technology | Sweden
PhD Halyna Yarmola | Ivan Franko National University of Lviv | Ukraine
Prof. Stepan Shakhno | Ivan Franko National University of Lviv | Ukraine
17:10
Consensus-Based Global Optimization
Dr. Claudia Totzeck | TU Kaiserslautern | Germany
17:30
Pareto Front Interpolation Based on Parametric Sensitivity Analysis in a Bi-Objective Setting
Arne Berger | University of Bremen | Germany
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Authors:
Arne Berger | University of Bremen | Germany
PhD Matthias Knauer | University of Bremen | Germany
Prof. Christof Büskens | University of Bremen | Germany
17:50
A stochastic semi-smooth Newton method for convex composite problems
Dr. Andre Milzarek | Peking University | China
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Authors:
Dr. Andre Milzarek | Peking University | China
Prof. Xiantao Xiao | Dalian University of Technology | China
Shicong Cen | Peking University
Prof. Zaiwen Wen | Peking University | China
18:10
A Nonconvex Primal-Dual Algorithm under Moreau-Yosida Regularization
Emanuel Laude | TUM Technische Universität München | Germany
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Authors:
Emanuel Laude | TUM Technische Universität München | Germany
PhD Tao Wu | TUM Technische Universität München
Prof. Daniel Cremers | TUM Technische Universität München