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Radu Ioan Boţ

Radu Ioan Boţ

D-Index & Metrics

Mathematics

D-Index
34
Citations
4902
World Ranking
2908
National Ranking
38

Overview

Radu Ioan Boţ is affiliated with the University of Vienna in Austria. Their research spans several fields primarily focused on computational mathematics and optimization, with contributions to computer science, mathematics, and engineering.

Their work concentrates on advanced topics such as:

  • Optimization and Variational Analysis
  • Sparse and Compressive Sensing Techniques
  • Numerical Methods in Inverse Problems
  • Advanced Optimization Algorithms Research
  • Stochastic Gradient Optimization Techniques
  • Advanced Mathematical Modeling in Engineering
  • Stability and Controllability of Differential Equations

Within academic disciplines, Boţ's research particularly involves:

  • Computational Theory and Mathematics
  • Computational Mechanics
  • Mathematical Physics
  • Numerical Analysis
  • Artificial Intelligence

Their recent publications include:

  • "Alternating Proximal-Gradient Steps for (Stochastic) Nonconvex-Concave Minimax Problems," 2023, SIAM Journal on Optimization
  • "Fast Optimization via Inertial Dynamics with Closed-Loop Damping," 2022, Journal of the European Mathematical Society (authored by Hédy Attouch)
  • "Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs," 2021, Mathematics of Operations Research
  • "Minibatch Forward-Backward-Forward Methods for Solving Stochastic Variational Inequalities," 2021, Stochastic Systems
  • "Inducing Strong Convergence of Trajectories in Dynamical Systems Associated to Monotone Inclusions with Composite Structure," 2020, Advances in Nonlinear Analysis

Their frequent publication venues illustrate a diverse engagement with mathematical and optimization journals, including:

  • arXiv (Cornell University)
  • Mathematics of Operations Research
  • SIAM Journal on Optimization
  • Mathematical Programming
  • Numerical Algorithms

Boţ has collaborated extensively with several researchers. The most frequent co-authors include:

  • Ernö Robert Csetnek
  • Dang-Khoa Nguyen
  • Axel Böhm
  • Michael Sedlmayer
  • David Alexander Hulett

Best Publications

  • Inertial Douglas-Rachford splitting for monotone inclusion problems

    Radu Ioan Boţ;Ernö Robert Csetnek;Christopher Hendrich

  • Conjugate Duality in Convex Optimization

    Radu Ioan Boţ

  • An inertial forward-backward-forward primal-dual splitting algorithm for solving monotone inclusion problems

    Radu Ioan Boţ;Ernö Robert Csetnek

  • A Douglas-Rachford type primal-dual method for solving inclusions with mixtures of composite and parallel-sum type monotone operators

    Radu Ioan Boţ;Christopher Hendrich

  • An Inertial Tseng's Type Proximal Algorithm for Nonsmooth and Nonconvex Optimization Problems

    Radu Ioan Boź;Ernö Robert Csetnek

  • The forward–backward–forward method from continuous and discrete perspective for pseudo-monotone variational inequalities in Hilbert spaces

    R.I. Boţ;E.R. Csetnek;P.T. Vuong;P.T. Vuong

  • A weaker regularity condition for subdifferential calculus and Fenchel duality in infinite dimensional spaces

    Radu Ioan Boţ;Gert Wanka

  • Regularity Conditions via Quasi-Relative Interior in Convex Programming

    Radu Ioan Boţ;Ernö Robert Csetnek;Gert Wanka

  • A Primal-Dual Splitting Algorithm for Finding Zeros of Sums of Maximal Monotone Operators

    Radu Ioan Boţ;Ernö Robert Csetnek;André Heinrich

  • An inertial alternating direction method of multipliers

    Radu Ioan Bot;Ernö Robert Csetnek

  • An alternative formulation for a new closed cone constraint qualification

    Radu Ioan Boţ;Gert Wanka

  • On strong and total Lagrange duality for convex optimization problems

    Radu Ioan Boţ;Sorin-Mihai Grad;Gert Wanka

  • On the convergence rate improvement of a primal-dual splitting algorithm for solving monotone inclusion problems

    Radu Ioan Bož;Ernö Robert Csetnek;André Heinrich;Christopher Hendrich

  • An extension of the variational inequality approach for obtaining convergence rates in regularization of nonlinear ill-posed problems

    Radu Ioan Boţ;Bernd Hofmann

  • Convergence Analysis for a Primal-Dual Monotone + Skew Splitting Algorithm with Applications to Total Variation Minimization

    Radu Ioan Boţ;Christopher Hendrich

  • New regularity conditions for strong and total Fenchel–Lagrange duality in infinite dimensional spaces

    Radu Ioan Boţ;Sorin-Mihai Grad;Gert Wanka

  • The Proximal Alternating Direction Method of Multipliers in the Nonconvex Setting: Convergence Analysis and Rates

    Radu Ioan Boţ;Radu Ioan Boţ;Dang-Khoa Nguyen

  • Revisiting Some Duality Theorems via the Quasirelative Interior in Convex Optimization

    R. I. Boţ;E. R. Csetnek;A. Moldovan

  • A Hybrid Proximal-Extragradient Algorithm with Inertial Effects

    Radu Ioan Boţ;Ernö Robert Csetnek

  • Strong Duality for Generalized Convex Optimization Problems

    R. I. Boţ;G. Kassay;G. Wanka

  • On the Relations Between Different Dual Problems in Convex Mathematical Programming

    Gert Wanka;Radu-Ioan Boţ

  • Generalized Moreau–Rockafellar results for composed convex functions

    Radu Ioan Boţ;Sorin-Mihai Grad;Gert Wanka

  • Full length article: Attouch-Théra duality revisited: Paramonotonicity and operator splitting

    Heinz H. Bauschke;Radu I. Bo;Warren L. Hare;Walaa M. Moursi

  • Wolfe duality and Mond–Weir duality via perturbations

    Radu Ioan Boţ;Sorin-Mihai Grad

Frequent Co-Authors

Guoyin Li
Guoyin Li University of New South Wales
Vaithilingam Jeyakumar
Vaithilingam Jeyakumar University of New South Wales
Hedy Attouch
Hedy Attouch University of Montpellier

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