Juan Peypouquet

Computational Mechanics · 2008–2018

A researcher in the Science corpus: 8 papers; trusts 57 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 49 citations into it; #3,394 of 10,001 by trust here, #4,450 by citations
• Computational Theory and Mathematics — 48 citations into it; #5,105 of 12,182 by trust here, #2,851 by citations
• Numerical Analysis — 37 citations into it; #968 of 3,586 by trust here, #875 by citations
• Optimization & Training — 36 citations into it
• Mathematical Physics — 29 citations into it; #7,407 of 8,562 by trust here, #3,022 by citations
• Mathematical Optimization — 27 citations into it
• Applied Mathematics — 17 citations into it; #7,149 of 7,620 by trust here, #6,241 by citations
• Geometry and Topology — 16 citations into it

Whom Juan Peypouquet trusts overall

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

1. Yurii E. Nesterov
2. Robert Tibshirani
3. M. Powell
4. Dimitri P. Bertsekas
5. E.J. Candes
6. Hédy Attouch
7. Heinz H. Bauschke
8. R. Tyrrell Rockafellar
9. Junfeng Yang
10. Boris Polyak

Who trusts Juan Peypouquet overall

1. Hédy Attouch
2. David A. Hirshberg
3. Jérôme Bolte
4. Stefan Wager
5. Trong Phong Nguyen
6. Zaki Chbani
7. Bolin Gao
8. Qiao-Li Dong
9. Eli Ben-Michael
10. Bruce Wilsey Suter

Papers from Juan Peypouquet's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Atomic Decomposition by Basis Pursuit
3. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
4. Monotone Operators and the Proximal Point Algorithm
5. Compressed Sensing
6. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
7. Nonlinear Programming
8. Proximité et dualité dans un espace hilbertien
9. Gradient methods for minimizing composite objective function
10. Smooth minimization of non-smooth functions

Their papers

• Evolution equations for maximal monotone operators: asymptotic analysis in continuous and discrete time (2009) — 156 citations
• From error bounds to the complexity of first-order descent methods for convex functions (2015) — 391 citations
• Strong asymptotic convergence of evolution equations governed by maximal monotone operators with Tikhonov regularization (2008) — 83 citations
• Fast convergence of inertial dynamics and algorithms with asymptotic vanishing viscosity (2018) — 364 citations
• Backward–forward algorithms for structured monotone inclusions in Hilbert spaces☆ (2018) — 69 citations
• Convex Optimization in Normed Spaces: Theory, Methods and Examples (2015) — 163 citations
• The Rate of Convergence of Nesterov's Accelerated Forward-Backward Method is Actually Faster Than 1/k2 (2015) — 320 citations
• Convex Optimization in Normed Spaces (2015) — 106 citations