A. Packard
Computational Mechanics · 2002–2015
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 13 citations into it
- Optimization & Training — 8 citations into it; #859 of 2,601 by trust here, #1,468 by citations
- Numerical Analysis — 7 citations into it; #535 of 3,586 by trust here, #661 by citations
- Artificial Intelligence — 6 citations into it; #8,085 of 35,345 by trust here, #16,166 by citations
- Computational Theory and Mathematics — 5 citations into it; #2,119 of 12,182 by trust here, #3,339 by citations
Whom A. Packard trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts A. Packard overall
Papers from A. Packard's perspective
Ordered by how strongly the researchers A. Packard trusts endorse each paper. Same corpus, a different order for every researcher.
- Stochastic Approximation approach to Stochastic Programming
- Gradient methods for minimizing composite functions
- Introductory Lectures on Convex Optimization - A Basic Course
- Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems
- Templates for convex cone problems with applications to sparse signal recovery (Mathematical Programming Computation)
- Graph Implementations for Nonsmooth Convex Programs
- On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers
- On the linear convergence of the alternating direction method of multipliers
- Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints
- First-order methods of smooth convex optimization with inexact oracle
Their papers
- Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints (2014) — 709 citations
- A General Analysis of the Convergence of ADMM (2015) — 339 citations
- Nonlinear Receding Horizon Control of an F-16 Aircraft (2002) — 61 citations