Jan Heiland
Calcolo · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Jan Heiland trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jan Heiland's perspective
Ordered by how strongly the researchers Jan Heiland trusts endorse each paper. Same corpus, a different order for every researcher.
- BDF Methods for Large-Scale Differential Riccati Equations
- Solving Ordinary Differential Equations (Programming for Computations - Python)
- Optimal Control: An Introduction
- Approximation of Large-Scale Dynamical Systems (Advances in Design and Control)
- A collection of benchmark examples for model reduction of linear time invariant dynamical systems.
- Eigenvalue decay bounds for solutions of Lyapunov equations: the symmetric case
- A Riemannian Optimization Approach for Computing Low-Rank Solutions of Lyapunov Equations
- Low-Rank Solution of Lyapunov Equations (SIAM Review)
- An improved numerical method for balanced truncation for symmetric second-order systems
- A New Iterative Method for Solving Large-Scale Lyapunov Matrix Equations (SIAM Journal on Scientific Computing)
Their papers
- Solution formulas for differential Sylvester and Lyapunov equations (2018) — 70 citations