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Symplectic integrator plays a pivotal role in the long-term tracking of charged particles within accelerators. To get symplectic maps in accurate simulation of single-particle trajectories, two key components are addressed: precise…

Accelerator Physics · Physics 2025-03-10 Jie Li , Kedong Wang , Kai Wang , Xu Zhang , Xueqing Yan , Kun Zhu

We propose a family of reliable symplectic integrators adapted to the Discrete Non-Linear Schr\"odinger equation; based on an idea of Yoshida (H. Yoshida, Construction of higher order symplectic integrators, Physics Letters A, 150, 5,6,7,…

Pattern Formation and Solitons · Physics 2010-12-16 Jehan Boreux , Timoteo Carletti , Charles Hubaux

Many of the new developments in machine learning are connected with gradient-based optimization methods. Recently, these methods have been studied using a variational perspective. This has opened up the possibility of introducing…

Optimization and Control · Mathematics 2024-04-17 Cédric M. Campos , Alejandro Mahillo , David Martín de Diego

Symplectic integrators constructed from Hamiltonian and Lie formalisms are obtained as symplectic maps whose flow follows the exact solution of a "sourrounded" Hamiltonian K = H + h^k H_1. Those modified Hamiltonians depends virtually on…

Symplectic Geometry · Mathematics 2012-01-04 Hugo Jiménez-Pérez

The main purpose of this work is to present a SIMD-vectorized implementation of the symplectic 16th-order 8-stage implicit Runge-Kutta integrator based on collocation with Gauss-Legendre nodes (IRKGL16-SIMD), and to show that it can…

Numerical Analysis · Mathematics 2026-03-31 Mikel Antoñana , Joseba Makazaga , Ander Murua

Multi-symplectic integrators are typically regarded as a discretization of the Hamiltonian partial differential equations. This is due to the fact that, for generic finite-dimensional Hamiltonian systems, there exists only one independent…

Dynamical Systems · Mathematics 2025-02-07 A. V. Tsiganov

A novel symplectic integrator for Hamiltonian equations on $S_2^n \times T^{\ast} \RR^m$ is developed and studied. Partitioned Runge--Kutta methods for Hamiltonian systems on products of Hamiltionian manifolds are studied, specifically,…

Numerical Analysis · Mathematics 2018-09-18 Geir Bogfjellmo

Symplectic integrators offer vastly superior performance over traditional numerical techniques for conservative dynamical systems, but their application to \emph{dissipative} systems is inherently difficult due to dissipative systems' lack…

This paper presents a geometric-variational approach to continuous and discrete mechanics and field theories. Using multisymplectic geometry, we show that the existence of the fundamental geometric structures as well as their preservation…

Differential Geometry · Mathematics 2025-10-20 Jerrold E. Marsden , George W. Patrick , Steve Shkoller

Due to the emergence of symplectic geometry, the geometric treatment of mechanics underwent a great development during the last century. In this scenario the pressence of symmetries in Hamiltonian systems leads naturally to the existence of…

Mathematical Physics · Physics 2022-08-24 Juan Manso García-Mauriño

In this work we propose a new numerical approach to distinguish between regular and chaotic orbits in Hamiltonian systems, based on the simultaneous integration of both the orbit and the deviation vectors using a symplectic scheme, hereby…

Chaotic Dynamics · Physics 2015-03-17 Anne-Sophie Libert , Charles Hubaux , Timoteo Carletti

Numerical methods that preserve geometric invariants of the system, such as energy, momentum or the symplectic form, are called geometric integrators. Variational integrators are an important class of geometric integrators. The general idea…

Systems and Control · Electrical Eng. & Systems 2022-02-04 Leonardo Colombo , Manuela Gamonal Fernández , David Martín de Diego

In this article we introduce a low order implicit symplectic integrator designed to follow the Hamiltonian flow as close as possible. This integrator is obtained by the method of Liouvillian forms and does not require particular hypotheses…

Symplectic Geometry · Mathematics 2020-11-04 Hugo Jiménez-Pérez

We develop a unified geometric framework for mechanical systems that combine conservative and dissipative dynamics by formulating them on contact manifolds. Within this setting, we identify the Reeb vector field as the intrinsic generator…

Mathematical Physics · Physics 2025-12-16 Vinesh Vijayan , Pasupuleti Thejasree , P Satish Kumar , K Suganya

While the construction of symplectic integrators for Hamiltonian dynamics is well understood, an analogous general theory for Poisson integrators is still lacking. The main challenge lies in overcoming the singular and non-linear geometric…

Numerical Analysis · Mathematics 2024-09-09 Alejandro Cabrera , David Martín de Diego , Miguel Vaquero

Symplectic integration methods based on operator splitting are well established in many branches of science. For Hamiltonian systems which split in more than two parts, symplectic methods of higher order have been studied in detail only for…

This article considers non-relativistic charged particle dynamics in both static and non-static electromagnetic fields, which are governed by nonseparable, possibly time-dependent Hamiltonians. For the first time, explicit symplectic…

Numerical Analysis · Mathematics 2016-11-23 Molei Tao

In order to perform numerical studies of long-term stability in nonlinear Hamiltonian systems, one needs a numerical integration algorithm which is symplectic. Further, this algorithm should be fast and accurate. In this paper, we propose…

Exactly Solvable and Integrable Systems · Physics 2009-11-07 Govindan Rangarajan

Many force-gradient explicit symplectic integration algorithms have been designed for the Hamiltonian $H=T (\mathbf{p})+V(\mathbf{q})$ with kinetic energy $T(\mathbf{p})=\mathbf{p}^2/2$ in the existing references. When the force-gradient…

Numerical Analysis · Mathematics 2021-11-10 Lina Zhang , Xin Wu , Enwei Liang

We propose a novel second-order ODE as the continuous-time limit of a Riemannian accelerated gradient-based method on a manifold with curvature bounded from below. This ODE can be seen as a generalization of the ODE derived for Euclidean…

Optimization and Control · Mathematics 2020-03-10 Foivos Alimisis , Antonio Orvieto , Gary Bécigneul , Aurelien Lucchi