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Measurement data is often sampled irregularly, i.e., not on equidistant time grids. This is also true for Hamiltonian systems. However, existing machine learning methods, which learn symplectic integrators, such as SympNets [1] and…

机器学习 · 计算机科学 2025-09-25 Konrad Janik , Peter Benner

We extend the modeling framework of port-Hamiltonian descriptor systems to include under- and over-determined systems and arbitrary differentiable Hamiltonian functions. This structure is associated with a Dirac structure that encloses its…

最优化与控制 · 数学 2019-03-26 Volker Mehrmann , Riccardo Morandin

We study the non-canonical symplectic structure, or K-symplectic structure inherited by the charged particle dynamics. Based on the splitting technique, we construct non-canonical symplectic methods which is explicit and stable for the…

计算物理 · 物理学 2015-09-28 Yang He , Yajuan Sun , Zhaoqi Zhou , Jian Liu , Hong Qin

We give a systematic method for discretizing Hamiltonian partial differential equations (PDEs) with constant symplectic structure, while preserving their energy exactly. The same method, applied to PDEs with constant dissipative structure,…

Symplectic integrators offer many advantages for the numerical solution of Hamiltonian differential equations, including bounded energy error and the preservation of invariant sets. Two of the central Hamiltonian systems encountered in…

等离子体物理 · 物理学 2018-05-23 C. Leland Ellison , John M. Finn , Joshua W. Burby , Michael Kraus , Hong Qin , William M. Tang

With this contribution, we give a complete and comprehensive framework for modeling the dynamics of complex mechanical structures as port-Hamiltonian systems. This is motivated by research on the potential of lightweight construction using…

计算物理 · 物理学 2020-08-19 Alexander Warsewa , Michael Böhm , Oliver Sawodny , Cristina Tarín

Stellar streams retain a memory of their gravitational interactions with small-scale perturbations. While perturbative models for streams have been formulated in action-angle coordinates, a direct transformation to these coordinates is only…

The existence of explicit symplectic integrators for general nonseparable Hamiltonian systems is an open and important problem in both numerical analysis and computing in science and engineering, as explicit integrators are usually more…

数值分析 · 数学 2025-04-18 Lijie Mei , Xinyuan Wu , Yaolin Jiang

In this paper we introduce discrete gradient methods to discretize irreversible port-Hamiltonian systems showing that the main qualitative properties of the continuous system are preserved using this kind discretizations methods.

数值分析 · 数学 2023-03-15 Alexandre Anahory Simoes , David Martín de Diego , Bernhard Maschke

For several classes of mathematical models that yield linear systems, the splitting of the matrix into its Hermitian and skew Hermitian parts is naturally related to properties of the underlying model. This is particularly so for…

数值分析 · 数学 2023-01-02 Malak Diab , Andreas Frommer , Karsten Kahl

We present a multiscale integrator for Hamiltonian systems with slowly varying quadratic stiff potentials that uses coarse timesteps (analogous to what the impulse method uses for constant quadratic stiff potentials). This method is based…

数值分析 · 数学 2011-04-14 Molei Tao , Houman Owhadi , Jerrold E. Marsden

Symplectic integrators are widely used for long-term integration of conservative astrophysical problems due to their ability to preserve the constants of motion; however, they cannot in general be applied in the presence of nonconservative…

天体物理仪器与方法 · 物理学 2015-08-10 David Tsang , Chad R. Galley , Leo C. Stein , Alec Turner

We show that symplectic Runge-Kutta methods provide effective symplectic integrators for Hamiltonian systems with index one constraints. These include the Hamiltonian description of variational problems subject to position and velocity…

数值分析 · 数学 2014-02-28 Robert I McLachlan , Klas Modin , Olivier Verdier , Matt Wilkins

Extraction of structure, in particular of group symmetries, is increasingly crucial to understanding and building intelligent models. In particular, some information-theoretic models of parsimonious learning have been argued to induce…

信息论 · 计算机科学 2025-07-08 Hippolyte Charvin , Nicola Catenacci Volpi , Daniel Polani

We show that sampling or interpolation formulas in reproducing kernel Hilbert spaces can be obtained by reproducing kernels whose dual systems form molecules, ensuring that the size profile of a function is fully reflected by the size…

泛函分析 · 数学 2022-05-04 José Luis Romero , Jordy Timo van Velthoven , Felix Voigtlaender

We compare the performances of symplectic and non-symplectic integrators for the computation of normal geodesics and conjugate points in sub-Riemannian geometry at the example of the Martinet case. For this case study we consider first the…

数值分析 · 数学 2007-05-23 Monique Chyba , Ernst Hairer , Gilles Vilmart

Classical model reduction techniques project the governing equations onto linear subspaces of the high-dimensional state-space. For problems with slowly decaying Kolmogorov-n-widths such as certain transport-dominated problems, however,…

数值分析 · 数学 2021-12-22 Patrick Buchfink , Silke Glas , Bernard Haasdonk

It is well known that the Lagrangian and Hamiltonian descriptions of field theories are equivalent at the discrete time level when variational integrators are used. Besides the symplectic Hamiltonian structure, many physical systems exhibit…

数值分析 · 数学 2024-01-18 Andrea Brugnoli , Volker Mehrmann

This paper presents a "historical" formalism for dynamical systems, in its Hamiltonian version (Lagrangian version was presented in a previous paper). It is universal, in the sense that it applies equally well to time dynamics and to field…

数学物理 · 物理学 2016-02-24 M Lachieze-Rey

In this paper we will explore fundamental constraints on the evolution of certain symplectic subvolumes possessed by any Hamiltonian phase space. This research has direct application to optimal control and control of conservative mechanical…

最优化与控制 · 数学 2007-09-11 Jared M. Maruskin , Daniel J. Scheeres , Anthony M. Bloch
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