Solutions to Mathematical Methods of Classical Mechanics by V.A.Arnold
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Updated
May 17, 2024 - Mathematica
Solutions to Mathematical Methods of Classical Mechanics by V.A.Arnold
Theoretical project regarding hamiltonian and lagrangian neural network
n-body system integrator
Jerarquía de ecuaciones diferenciales asociadas a una ecuación de evolución bi-Hamiltoniana, con un ejemplo canónico para la ecuación de Korteweg-De Vries.
pyHamSys is a Python package for scientific computations involving Hamiltonian systems
Plotted phase space trajectories for different mechanical systems using Python.
Numerical work related to Clock Space Hamiltonian Simulation
Conjugation method in configuration space for invariant tori of Hamiltonian systems
Numerical results for deterministic dynamics of a system coupled to a finite and chaotic bath.
Renormalization for the break-up of invariant tori in Hamiltonian flows
One-dimensional Vlasov-Poisson equation and its Hamiltonian fluid reductions
The Structure and Interpretation of Classical Mechanics
Learn Hamiltonian from Trajectory & Lagrangian Correspondence from in-out data
Code for the paper "Sparse Symplectically Integrated Neural Networks"
The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
Symplectic integration of Hamiltonian systems. Zymplectic is a pre-compiled GUI and engine with 2D/3D-graphics bundled with more than 70 example dynamical systems in cpp format
Sampling-based approach to analyse neural networks using TensorFlow
Port-Hamiltonian Approach to Neural Network Training
Symplectic Recurrent Neural Networks
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