The Structure and Interpretation of Classical Mechanics
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Updated
Dec 27, 2016 - Scheme
The Structure and Interpretation of Classical Mechanics
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
Solutions to Mathematical Methods of Classical Mechanics by V.A.Arnold
n-body system integrator
Theoretical project regarding hamiltonian and lagrangian neural network
Python library for quantum systems and simulation
Jerarquía de ecuaciones diferenciales asociadas a una ecuación de evolución bi-Hamiltoniana, con un ejemplo canónico para la ecuación de Korteweg-De Vries.
One-dimensional Vlasov-Poisson equation and its Hamiltonian fluid reductions
Plotted phase space trajectories for different mechanical systems using Python.
pyHamSys is a Python package for scientific computations involving Hamiltonian systems
Numerical work related to Clock Space Hamiltonian Simulation
Flows: classical, Hamiltonian, from OCP and more
Dash App - simulation of double pendulum equations of motion
The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
Learn Hamiltonian from Trajectory & Lagrangian Correspondence from in-out data
Symplectic integration of Hamiltonian systems. Zymplectic is a pre-compiled GUI and engine with 2D/3D-graphics bundled with more than 80 example dynamical systems in cpp format
Code for the paper "Sparse Symplectically Integrated Neural Networks"
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