Yekini Shehu
Computational Theory and Mathematics · 2015–2022
A researcher in the Science corpus: 13 papers; trusts 69 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 190 citations into it; #4,191 of 12,182 by trust here, #3,796 by citations
- Numerical Analysis — 146 citations into it; #2,732 of 3,586 by trust here, #1,289 by citations
- Geometry and Topology — 70 citations into it; #4,116 of 7,422 by trust here, #3,959 by citations
- Mathematical Physics — 48 citations into it; #6,549 of 8,562 by trust here, #5,408 by citations
- Computational Mechanics — 44 citations into it; #7,287 of 10,001 by trust here, #8,258 by citations
- Civil and Structural Engineering — 35 citations into it
- Optimization & Training — 25 citations into it
- Mathematical Optimization — 21 citations into it
Whom Yekini Shehu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yair Censor
- Yura Malitsky
- Bingsheng He
- Rapeepan Kraikaew
- Hong-Kun Xu
- Igor V. Konnov
- Paul-Emile Maingé
- Aviv Gibali
- Felipe Alvarez
- R. Tyrrell Rockafellar
Who trusts Yekini Shehu overall
- Duong Viet Thong
- Dang Van Hieu
- Lateef Olakunle Jolaoso
- Jun Yang
- Oluwatosin Temitope Mewomo
- Olaniyi Samuel Iyiola
- Tang Bing
Papers from Yekini Shehu's perspective
Ordered by how strongly the researchers Yekini Shehu trusts endorse each paper. Same corpus, a different order for every researcher.
- The extragradient method for finding saddle points and other problems
- Monotone Operators and the Proximal Point Algorithm
- Solving monotone inclusions via compositions of nonexpansive averaged operators
- Regression Shrinkage and Selection via the Lasso
- The Hybrid Steepest Descent Method for the Variational Inequality Problem over the Intersection of Fixed Point Sets of Nonexpansive Mappings
- Signal Recovery by Proximal Forward-Backward Splitting
- Forcing strong convergence of proximal point iterations in a Hilbert space (Mathematical programming)
- Atomic Decomposition by Basis Pursuit
- A Weak-to-Strong Convergence Principle for Fejé-Monotone Methods in Hilbert Spaces (Mathematics of Operations Research)
- Proximité et dualité dans un espace hilbertien
Their papers
- An efficient iterative method for finding common fixed point and variational inequalities in Hilbert spaces (2018) — 50 citations
- A strong convergence result involving an inertial forward–backward algorithm for monotone inclusions (2017) — 102 citations
- Strong convergence of a double projection-type method for monotone variational inequalities in Hilbert spaces (2018) — 49 citations
- Another look at the split common fixed point problem for demicontractive operators (2016) — 52 citations
- Convergence results of two-step inertial proximal point algorithm (2022) — 54 citations
- Single projection algorithm for variational inequalities in Banach spaces with application to contact problem (2020) — 49 citations
- Projection methods with alternating inertial steps for variational inequalities: Weak and linear convergence (2020) — 97 citations
- Inertial forward-backward splitting method in Banach spaces with application to compressed sensing (2019) — 57 citations
- Single projection method for pseudo-monotone variational inequality in Hilbert spaces (2018) — 166 citations
- Iterative method with inertial for variational inequalities in Hilbert spaces (2018) — 72 citations
- Convergence analysis for the proximal split feasibility problem using an inertial extrapolation term method (2017) — 52 citations
- Further investigation into split common fixed point problem for demicontractive operators (2016) — 56 citations
- An iterative method for solving split monotone variational inclusion and fixed point problems (2015) — 58 citations