Felix Lenders
Numerical Methods & Scientific Computing · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Numerical Methods & Scientific Computing — 39 citations into it
- Mathematical Optimization — 22 citations into it
- Hardware and Architecture — 12 citations into it
- Numerical Analysis — 10 citations into it
- Computational Theory and Mathematics — 9 citations into it
- Computational Mechanics — 7 citations into it
Whom Felix Lenders trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- N. Gould
- Trond Steihaug
- Anders Logg
- Jorge J. Moré
- Philippe L. Toint
- Garth N. Wells
- Danny C. Sorensen
- Coralia Cartis
- Dominique Orban
- Stefano Lucidi
Papers from Felix Lenders's perspective
Ordered by how strongly the researchers Felix Lenders trusts endorse each paper. Same corpus, a different order for every researcher.
- The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
- Benchmarking optimization software with performance profiles
- Solving the Trust-Region Subproblem using the Lanczos Method
- Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results (Mathematical programming)
- DOLFIN: Automated finite element computing (TOMS)
- Numerical optimization
- Unified form language: A domain-specific language for weak formulations of partial differential equations (TOMS)
- The Mosek Interior Point Optimizer for Linear Programming: An Implementation of the Homogeneous Algorithm
- Exploring Network Structure, Dynamics, and Function using NetworkX
- User Guide a
Their papers
- SciPy 1.0: fundamental algorithms for scientific computing in Python (2019) — 33,467 citations
- trlib: a vector-free implementation of the GLTR method for iterative solution of the trust region problem (2016) — 22 citations
- Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python (2020) — 1,246 citations