Homepage of Radu Ioan Boţ

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• Oksana Slavova: Numerische Verfahren der Optimierung (Bachelor seminar, U Vienna, 2022)
• Nikolaus Hauschka: Fortsetzungssätze für Lipschitz-stetige Funktionen (Bachelor seminar, U Vienna, 2021)
• Chiara Schindler: Einige Charakterisierungen der Reflexivität von Banachräumen (Bachelor seminar, U Vienna, 2021)
• Marcel Harrer: The Projected Gradient Method (Bachelor seminar, U Vienna, 2020)
• Rossen Nenov: Das globalisierte Newton-Verfahren (Bachelor seminar, U Vienna, 2020)
• Philip Neuhart: Linear Learning Machines (Bachelor seminar, U Vienna, 2020)
• Lisa Krögner: Standortoptimierung (Bachelor of Education seminar, U Vienna, 2020)
• Xandro Moritz Bayer: Das Gradientenverfahren (Bachelor seminar, U Vienna, 2017)
• Andrea Kammerhofer: Die Subgradientenmethode (Bachelor seminar 2, U Vienna, 2016)
• Andrea Kammerhofer: Transportoptimierung - Fragestellungen und Realisierung in Matlab (Bachelor seminar 1, U Vienna, 2016)
• Klaus Kastner: Support-Vektor-Maschinen (Bachelor seminar 2, U Vienna, 2015)
• Eva Hornakova: Zur Konvergenz des Gradientenverfahrens mit Inertialeffekten (Bachelor seminar 2, U Vienna, 2015)
• Petra Fiala: Gradient Method versus Fast Gradient Method (Bachelor seminar 1, U Vienna, 2015)
• Marlene Lepuschitz: Duale Glättungsverfahren in der Bildverarbeitung (Bachelor seminar 2, U Vienna, 2015)
• Marlene Lepuschitz: Beschleunigung des ISTA Algorithmus mit Anwendungen in der Bildverarbeitung (Bachelor seminar 1, U Vienna, 2014)

• Felisa Weidner: Zur Anwendbarkeit von Splitting- und Glättungsverfahren bei Aufgaben des maschinellen Lernens (Chemnitz UT, 2013)
• Sebastian Banert: A Relaxed Forward-Backward Splitting Algorithm for Inclusions of Sums of Monotone Operators (Chemnitz UT, 2012)
• Albrecht Eckardt: Proximal Splitting Methods for Solving Nondifferentiable Convex Optimization Problems (Chemnitz UT, 2012)
• Christopher Hendrich: A Double Smoothing Technique for Solving Nondifferentiable Convex Optimization Problems (Chemnitz UT, 2012)
• Juliana Stoye: Untersuchung des Einflusses von Kombinationen von Fertigungs- und Montageparametern auf die Prüfparameter der Piezo-Pumpe-Düse (Chemnitz UT, 2007)
• Jan Winkler: Konjugierte Dualität bei zusammengesetzten konvexen Funktionen in reellen linearen Räumen (Chemnitz UT, 2007)
• André Heinrich: Optimierungsstrategien zum automatischen Parametrieren von Motorsteuergeräten (Chemnitz UT, 2006)
• Susann Rösch: Erweiterung des Mond-Weir-Dualitätskonzepts für konvexe Optimierungsaufgaben (Chemnitz UT, 2006)
• Sorin-Mihai Grad: Multiobjective Duality for Convex Semidefinite Programming Problems (BBU Cluj-Napoca, 2001)

• Tuan Minh Le: Convergence Rates of Extragradient Type Methods for Solving Smooth Convex-Concave Problems“ (U Vienna, 2024)
• Marcel Harrer: A Detailed Look at the Adaptive Gradient Descent Method (U Vienna, 2023)
• Chiara Schindler: Continuous Time Approach of a Perturbed Second Order Dynamical System Combining a Vanishing Damping Term with a Hessian-analogue Damping Term (U Vienna, 2023)
• Philip Neuhart: Adversarial Training with Lookahead (U Vienna, 2022)
• Rossen Nenov: Convergence Rates of the Nesterov Accelerated Gradient Method under Geometric Conditions and Time Scaling (U Vienna, 2022)
• Konstantin Sonntag: Optimization of Remedial Actions in the European Electrical Transmission System using Interior-Point Methods (U Vienna, 2021)
• Valentyn Boreiko: Second-Order Stochastic Non-Convex Optimization (U Vienna, 2020, co-supervisor: Dan Alistarh, IST Austria)
• Michael Sedlmayer: Analysis and Stochastic Programming in Economics of Wind Energy (U Vienna, 2018)
• Klaus Kastner: Stochastic Primal-Dual Forward-Backward-Forward Algorithm with Applications in Machine Learning (U Vienna, 2018)
• Markus Gumpinger: Kernel Methods for Machine Learning (U Vienna, 2017)
• Jacques Veloso Dias: Inertial Krasnosel'skii-Mann Algorithms (U Vienna, 2017)
• Felix Heidinger: Mathematical Modelling and Automatic Optimization of the Powertrain and the Transmission Control (U Vienna, 2017)

• Michael Sedlmayer: Convergence Rate Analysis of Optimisation and Minimax Algorithms for Machine Learning (U Vienna, 2023)
• Dang-Khoa Nguyen: Numerical Algorithms for Structured Nonsmooth and Nonconvex Optimization Problems (U Vienna, 2021)
• Axel Böhm: Quantitative Convergence Estimates of Deterministic and Stochastic Methods for Optimization and Minimax Problems (U Vienna, 2020)
• Dennis Meier: Improving the Convergence Behaviour of Splitting Algorithms for Monotone Inclusions in Hilbert Spaces: From Weak to Strong Convergence (U Vienna, 2020)
• Sebastian Banert: Splitting Algorithms in Hilbert spaces and Beyond (U Vienna, 2017)
• Christopher Hendrich: Proximal Splitting Methods in Nonsmooth Convex Optimization (Chemnitz UT, 2014)
• Erika Nagy: Numerical Methods for Approximating Zeros of Operators and for Solving Variational Inequalities with Applications (BBU Cluj-Napoca, 2013)
• Alina Ramona Frătean: Dual Representations and Subdifferential Formulae for Convex Risk Functions. Contributions to Extension Theorems for Set-Valued Maps (BBU Cluj-Napoca, 2013)
• André Heinrich: Fenchel Duality-Based Algorithms for Convex Optimization Problems with Applications in Machine Learning and Image Restoration (Chemnitz UT, 2013)
• Nicole Lorenz: Application of the Duality Theory. New Possibilities within the Theory of Risk Measures, Portfolio Optimization and Machine Learning (Chemnitz UT, 2012)
• Delia-Maria Nechita: On the Dini-Hadamard Subdifferential Calculus in Banach Spaces (BBU Cluj-Napoca, 2012)
• Szilárd Csaba László: The Theory of Monotone Operators with Applications (BBU Cluj-Napoca, 2012)
• Anca Grad: Improved Optimality Conditions for Scalar, Vector and Set-Valued Optimization Problems (BBU Cluj-Napoca, 2010)
• Ernö Robert Csetnek: Overcoming the Failure of the Classical Generalized Interior-Point Regularity Conditions in Convex Optimization. Applications of the Duality Theory to Enlargements of Maximal Monotone Operators (Chemnitz UT, 2009)
• Ioan Bogdan Hodrea: Farkas-Type Results for Convex and Non-Convex Inequality Systems (Chemnitz UT, 2007)
• Lkhamsuren Altangerel: A Duality Approach to Gap Functions for Variational Inequalities and Equilibrium Problems (Chemnitz UT, 2006)
• Sorin-Mihai Grad: New Insights into Conjugate Duality (Chemnitz UT, 2006)
• Emese Tünde Vargyas: Duality for Convex Composed Programming Problems (Chemnitz UT, 2004)