The Structure and Interpretation of Classical Mechanics
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Updated
Dec 27, 2016 - Scheme
The Structure and Interpretation of Classical Mechanics
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.
Learn Hamiltonian from Trajectory & Lagrangian Correspondence from in-out data
Sampling-based approach to analyse neural networks using TensorFlow
Port-Hamiltonian Approach to Neural Network Training
Code for the paper "Sparse Symplectically Integrated Neural Networks"
Conjugation method in configuration space for invariant tori of Hamiltonian systems
Numerical work related to Clock Space Hamiltonian Simulation
One-dimensional Vlasov-Poisson equation and its Hamiltonian fluid reductions
Symplectic Recurrent Neural Networks
Renormalization for the break-up of invariant tori in Hamiltonian flows
Theoretical project regarding hamiltonian and lagrangian neural network
Numerical results for deterministic dynamics of a system coupled to a finite and chaotic bath.
Plotted phase space trajectories for different mechanical systems using Python.
The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
pyHamSys is a Python package for scientific computations involving Hamiltonian systems
Solutions to Mathematical Methods of Classical Mechanics by V.A.Arnold
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