Collection of some classical Machine learning Algorithms.
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Updated
Jan 13, 2022 - Jupyter Notebook
Collection of some classical Machine learning Algorithms.
It is a surprisingly succeeded attempt at simulating a double pendulum.
Modeling a double pendulum using Python and Lagrangian mechanics
A simulation of perpetual and quasi-periodic oscillations of a swinging atwood's machine.
Dataset of SOSAA model trajectory runs
This notebook demonstrates chapter 6 of the David Morin's book (morin@physics.harvard.edu).
In this paper, we focus on a specific problem related to the calculus of variations, which deals with finding the Lagrangian function that, when used in the Euler-Lagrange equation, produces a given differential equation
WebGPU water simulation handling up to a million particles.
kinematics, newton-euler dynamics and centralized/decentralized control of a KUKA robotic gripper -- up next safe reinforcement learning with optimistic exploration instead of trajectory planning. 2019
MATLAB code for processing 2D Langrangian Coherent Structures from a stationary velocity vector field
Optimizer in binary decision based on the common lagrange methodology
From Lagrangian to equation of motion, create or simulate any kind of 2 dimensional linked pendulums.
physics and science projects in python
SM Model Optimization: Lagrange and MIP
This is a package for interpolating lat/lon gridded data onto a cylindrical coordinate translating with various kinds of vortices on Earth.
Visualise transformations on the Riemann sphere interactively.
Basic and simple codes of Numerical Analysis methods of calculation
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