Integrating Lipschitzian dynamical systems using piecewise algorithmic differentiation
DOI10.1080/10556788.2017.1378653zbMath1401.65070arXiv1701.00745OpenAlexW2731479783MaRDI QIDQ4685599
Andreas Griewank, Richard Hasenfelder, Manuel Radons, Lutz Lehmann, Tom Streubel
Publication date: 9 October 2018
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1701.00745
automatic differentiationLipschitz continuitytrapezoidal rulenonsmoothpiecewise linearizationenergy preservationdense output
Numerical methods for initial value problems involving ordinary differential equations (65L05) Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Error bounds for numerical methods for ordinary differential equations (65L70) Numerical methods for Hamiltonian systems including symplectic integrators (65P10) Numerical methods for ordinary differential equations (65L99)
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Cites Work
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- Direct solution of piecewise linear systems
- Effective solution of discontinuous IVPs using a Runge-Kutta formula pair with interpolants
- Event location for ordinary differential equations
- Solving piecewise linear systems in ABS-normal form
- Piecewise-smooth dynamical systems. Theory and applications
- On stable piecewise linearization and generalized algorithmic differentiation
- Introduction to Piecewise Differentiable Equations
- Solving Ordinary Differential Equations I
- The Art of Differentiating Computer Programs
- Evaluating Derivatives
- Optimization and nonsmooth analysis
- A new class of energy-preserving numerical integration methods
- Geometric integrators for piecewise smooth Hamiltonian systems