Michael Grant

Numerical Analysis · 2006–2015

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

• Numerical Analysis — 16 citations into it; #98 of 3,586 by trust here, #201 by citations
• Computational Theory and Mathematics — 14 citations into it; #355 of 12,182 by trust here, #1,133 by citations
• Control and Systems Engineering — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Michael Grant trusts overall

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

1. Johan Löfberg
2. Stephen P. Boyd
3. Robert G. Bland
4. Donald Goldfarb
5. Michael J. Todd
6. Yurii E. Nesterov
7. Johan Efberg
8. Lieven Vandenberghe
9. Arindam Banerjee
10. Seung-Jean Kim

Who trusts Michael Grant overall

1. Stephen P. Boyd
2. Steven Diamond
3. Jaehyun Park
4. Joel A. E. Andersson
5. Miles Lubin
6. Osvaldo Simeone
7. Amir Tadayon
8. Daniel J. Lizotte
9. Akshay Agrawal
10. Jacob Mattingley

Papers from Michael Grant's perspective

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

1. Linear Programming and Extensions
2. YALMIP : a toolbox for modeling and optimization in MATLAB
3. GAMS -- A User's Guide
4. The Ellipsoid Method: A Survey
5. A tutorial on geometric programming (Optimization and Engineering)
6. Regression Shrinkage and Selection via the Lasso
7. Atomic Decomposition by Basis Pursuit
8. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
9. Stochastic Approximation approach to Stochastic Programming
10. Lectures on modern convex optimization - analysis, algorithms, and engineering applications

Their papers

• Graph Implementations for Nonsmooth Convex Programs (2008) — 3,055 citations
• Disciplined Convex Programming (2006) — 790 citations
• The CVX Users' Guide (2015) — 214 citations