Akira Hirabayashi

Computational Mechanics · 2020

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 39 citations into it
• Computational Theory and Mathematics — 20 citations into it
• Mathematical Physics — 19 citations into it
• Optimization & Training — 15 citations into it
• Numerical Analysis — 14 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 7 citations into it
• Mathematical Optimization — 5 citations into it

Whom Akira Hirabayashi trusts overall

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

1. Patrick L. Combettes
2. Ming Yan
3. Laurent Condat
4. Tom Goldstein
5. Stanley J. Osher
6. Antonin Chambolle
7. Luis M. Briceño-Arias
8. Heinz H. Bauschke

Papers from Akira Hirabayashi's perspective

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

1. Splitting Algorithms for the Sum of Two Nonlinear Operators
2. Signal Recovery by Proximal Forward-Backward Splitting
3. The Split Bregman Method for L1-Regularized Problems
4. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
5. Convex Analysis and Monotone Operator Theory in Hilbert Spaces
6. Solving monotone inclusions via compositions of nonexpansive averaged operators
7. A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms
8. A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science (SIAM Journal of Imaging Sciences)
9. A dual algorithm for the solution of nonlinear variational problems via finite element approximation
10. Proximal Algorithms

Their papers

• Proximal Splitting Algorithms: A Tour of Recent Advances, with New Twists. (2020) — 28 citations