Lateef Olakunle Jolaoso
Computational Theory and Mathematics · 2018–2020
A researcher in the Science corpus: 8 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 117 citations into it; #7,080 of 12,182 by trust here, #4,365 by citations
- Numerical Analysis — 97 citations into it; #1,996 of 3,586 by trust here, #917 by citations
- Geometry and Topology — 38 citations into it; #5,005 of 7,422 by trust here, #2,575 by citations
- Mathematical Physics — 29 citations into it
- Computational Mechanics — 19 citations into it
- Civil and Structural Engineering — 17 citations into it
- Numerical Methods & Scientific Computing — 5 citations into it
Whom Lateef Olakunle Jolaoso trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul-Emile Maingé
- Yair Censor
- Hong-Kun Xu
- Yura Malitsky
- Abdellatif Moudafi
- Aviv Gibali
- Ming Tian
- Simeon Reich
- Boris Polyak
- Oluwatosin Temitope Mewomo
Who trusts Lateef Olakunle Jolaoso overall
Papers from Lateef Olakunle Jolaoso's perspective
Ordered by how strongly the researchers Lateef Olakunle Jolaoso trusts endorse each paper. Same corpus, a different order for every researcher.
- The extragradient method for finding saddle points and other problems
- Modification of the extra-gradient method for solving variational inequalities and certain optimization problems
- Alternating Proximal Algorithms for Weakly Coupled Minimization Problems. Applications to Dynamical Games and PDE’s
- Strong Convergence of the Halpern Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Spaces (Journal of Optimization Theory and Applications)
- INEXACT VERSIONS OF PROXIMAL POINT AND AUGMENTED LAGRANGIAN ALGORITHMS IN BANACH SPACES
- Monotone Operators and the Proximal Point Algorithm
- An Inertial Proximal Method for Maximal Monotone Operators via Discretization of a Nonlinear Oscillator with Damping
- Strong convergence of subgradient extragradient methods for the variational inequality problem in Hilbert space (Optim. Methods Softw.)
- The Hybrid Steepest Descent Method for the Variational Inequality Problem over the Intersection of Fixed Point Sets of Nonexpansive Mappings
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
Their papers
- A self adaptive inertial subgradient extragradient algorithm for variational inequality and common fixed point of multivalued mappings in Hilbert spaces (2019) — 48 citations
- A unified algorithm for solving variational inequality and fixed point problems with application to the split equality problem (2019) — 82 citations
- Modified inertial subgradient extragradient method with self adaptive stepsize for solving monotone variational inequality and fixed point problems (2020) — 78 citations
- Inertial extragradient method via viscosity approximation approach for solving equilibrium problem in Hilbert space (2020) — 89 citations
- Parallel Hybrid Algorithm for Solving Pseudomonotone Equilibrium and Split Common Fixed Point Problems (2020) — 57 citations
- Fast and Simple Bregman Projection Methods for Solving Variational Inequalities and Related Problems in Banach Spaces (2020) — 59 citations
- A parallel combination extragradient method with Armijo line searching for finding common solutions of finite families of equilibrium and fixed point problems (2019) — 56 citations
- A Unified Algorithm for Solving Split Generalized Mixed Equilibrium Problem, and for Finding Fixed Point of Nonspreading Mapping in Hilbert Spaces (2018) — 47 citations