Robin Verschueren
Numerical Analysis · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Numerical Analysis — 29 citations into it
- Computational Theory and Mathematics — 20 citations into it; #10,633 of 12,182 by trust here, #9,804 by citations
- Artificial Intelligence — 8 citations into it
- Computational Mechanics — 7 citations into it
Whom Robin Verschueren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexander Domahidi
- Gianluca Frison
- Moritz Diehl
- Stephen P. Boyd
- Michael Grant
- Thomas Pock
- Erling D. Andersen
- John Schulman
- Alfred V. Aho
- Jan M. Maciejowski
Who trusts Robin Verschueren overall
Papers from Robin Verschueren's perspective
Ordered by how strongly the researchers Robin Verschueren trusts endorse each paper. Same corpus, a different order for every researcher.
- Efficient interior point methods for multistage problems arising in receding horizon control (IEEE Conference on Decision and Control)
- YALMIP : a toolbox for modeling and optimization in MATLAB
- Numerical optimization
- Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition
- CVXGEN: a code generator for embedded convex optimization
- Predictive control : with constraints
- Interior-point polynomial algorithms in convex programming
- ECOS: An SOCP solver for embedded systems
- Convex Optimization
- Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence (SIAM Journal on Optimization)
Their papers
- A Rewriting System for Convex Optimization Problems (2017) — 838 citations
- acados—a modular open-source framework for fast embedded optimal control (2019) — 616 citations