Radu Ioan Bot
Computational Theory and Mathematics · 2002–2020
A researcher in the Science corpus: 15 papers; trusts 44 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 84 citations into it; #1,771 of 12,182 by trust here, #1,813 by citations
- Mathematical Physics — 47 citations into it; #4,322 of 8,562 by trust here, #2,582 by citations
- Numerical Analysis — 41 citations into it; #694 of 3,586 by trust here, #561 by citations
- Applied Mathematics — 34 citations into it; #3,924 of 7,620 by trust here, #4,033 by citations
- Computational Mechanics — 24 citations into it; #3,967 of 10,001 by trust here, #4,178 by citations
- Optimization & Training — 18 citations into it
- Geometry and Topology — 15 citations into it
- Control and Systems Engineering — 13 citations into it
Whom Radu Ioan Bot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Felipe Alvarez
- Patrick L. Combettes
- Stephen Simons
- Heinz H. Bauschke
- Ivar Ekeland
- Jonathan Michael Borwein
- Hédy Attouch
- R. Tyrrell Rockafellar
- Constantin Zalinescu
- Bang Công Vu
Who trusts Radu Ioan Bot overall
- Ernö Robert Csetnek
- Nguyen Dinh
- Donghui Fang
- Olaniyi Samuel Iyiola
- Scott B. Lindstrom
- Zhenguo Mu
- Yekini Shehu
- Vaithilingam Jeyakumar
- Duong Viet Thong
- Sorin-Mihai Grad
Papers from Radu Ioan Bot's perspective
Ordered by how strongly the researchers Radu Ioan Bot trusts endorse each paper. Same corpus, a different order for every researcher.
- Monotone Operators and the Proximal Point Algorithm
- Splitting Algorithms for the Sum of Two Nonlinear Operators
- Convex Analysis and Monotone Operator Theory in Hilbert Spaces
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Signal Recovery by Proximal Forward-Backward Splitting
- A method for solving the convex programming problem with convergence rate O(1/k^2)
- Proximité et dualité dans un espace hilbertien
- On the Minimizing Property of a Second Order Dissipative System in Hilbert Spaces (SIAM Journal of Control and Optimization)
- The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming
- Monotone (nonlinear) operators in Hilbert space
Their papers
- Fast optimization via inertial dynamics with closed-loop damping (2020) — 58 citations
- Inertial Douglas-Rachford splitting for monotone inclusion problems (2014) — 322 citations
- An alternative formulation for a new closed cone constraint qualification (2006) — 76 citations
- Conjugate Duality in Convex Optimization (2010) — 255 citations
- On the Relations Between Different Dual Problems in Convex Mathematical Programming (2002) — 67 citations
- New regularity conditions for strong and total Fenchel–Lagrange duality in infinite dimensional spaces (2008) — 69 citations
- A weaker regularity condition for subdifferential calculus and Fenchel duality in infinite dimensional spaces (2006) — 99 citations
- A new constraint qualification for the formula of the subdifferential of composed convex functions in infinite dimensional spaces (2008) — 56 citations
- A Dynamical System Associated with the Fixed Points Set of a Nonexpansive Operator (2014) — 75 citations
- A Hybrid Proximal-Extragradient Algorithm with Inertial Effects (2014) — 70 citations
- Forward-Backward and Tseng’s Type Penalty Schemes for Monotone Inclusion Problems (2013) — 46 citations
- An extension of the variational inequality approach for obtaining convergence rates in regularization of nonlinear ill-posed problems (2010) — 58 citations
- Regularity conditions via generalized interiority notions in convex optimization: New achievements and their relation to some classical statements (2009) — 62 citations
- Revisiting Some Duality Theorems via the Quasirelative Interior in Convex Optimization (2008) — 83 citations
- New Constraint Qualification and Conjugate Duality for Composed Convex Optimization Problems (2007) — 51 citations