Prasit Cholamjiak

Computational Theory and Mathematics · 2016–2020

A researcher in the Science corpus: 8 papers; trusts 28 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 117 citations into it; #3,526 of 12,182 by trust here, #5,465 by citations
• Numerical Analysis — 81 citations into it
• Geometry and Topology — 48 citations into it; #5,110 of 7,422 by trust here, #6,132 by citations
• Mathematical Physics — 36 citations into it; #4,486 of 8,562 by trust here, #4,500 by citations
• Computational Mechanics — 28 citations into it; #6,388 of 10,001 by trust here, #8,258 by citations
• Optimization & Training — 18 citations into it
• Civil and Structural Engineering — 10 citations into it; #4,358 of 6,160 by trust here, #5,962 by citations
• Control and Systems Engineering — 9 citations into it

Whom Prasit Cholamjiak trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hédy Attouch
2. Dirk A. Lorenz
3. Bingsheng He
4. Paul-Emile Maingé
5. Boris Polyak
6. Patrick L. Combettes
7. Felipe Alvarez
8. Heinz H. Bauschke
9. R. Tyrrell Rockafellar
10. Yair Censor

Who trusts Prasit Cholamjiak overall

1. Yekini Shehu
2. Tang Bing
3. Olaniyi Samuel Iyiola
4. Duong Viet Thong
5. Sun Young Cho
6. Dang Van Hieu
7. Chinedu Izuchukwu

Papers from Prasit Cholamjiak's perspective

Ordered by how strongly the researchers Prasit Cholamjiak trusts endorse each paper. Same corpus, a different order for every researcher.

1. Monotone Operators and the Proximal Point Algorithm
2. Signal Recovery by Proximal Forward-Backward Splitting
3. Solving monotone inclusions via compositions of nonexpansive averaged operators
4. Regression Shrinkage and Selection via the Lasso
5. Atomic Decomposition by Basis Pursuit
6. Finite-Dimensional Variational Inequalities and Complementarity Problems
7. Lectures on modern convex optimization - analysis, algorithms, and engineering applications
8. The Rate of Convergence of Nesterov's Accelerated Forward-Backward Method is Actually Faster Than 1/k2 (SIAM Journal on Optimization)
9. The extragradient method for finding saddle points and other problems
10. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

Their papers

• An inertial forward–backward splitting method for solving inclusion problems in Hilbert spaces (2018) — 136 citations
• A strong convergence result involving an inertial forward–backward algorithm for monotone inclusions (2017) — 102 citations
• Another look at the split common fixed point problem for demicontractive operators (2016) — 52 citations
• A Novel Inertial Projection and Contraction Method for Solving Pseudomonotone Variational Inequality Problems (2019) — 103 citations
• Modified extragradient method with Bregman distance for variational inequalities (2020) — 50 citations
• Inertial forward-backward splitting method in Banach spaces with application to compressed sensing (2019) — 57 citations
• Iterative method with inertial for variational inequalities in Hilbert spaces (2018) — 72 citations
• On solving split equilibrium problems and fixed point problems of nonspreading multi-valued mappings in Hilbert spaces (2016) — 53 citations