An ion optics simulator
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Updated
Jun 14, 2021 - Python
An ion optics simulator
Conduit heat conduction analysis.
Simulation and visualization of temperature distribution in a material, using the two-dimensional Laplace equation and finite differences for Scientific Visualization and Virtual Reality course. Grade: 10/10.
Summation-by-parts finite difference operators
Generic derivative objects (gradients, Jacobians, Hessians, and more) by finite differences
Derivatives (mathematical) computation tools
A series of problems solved using finite difference methods, implemented in Python.
FinDi: Finite Difference Gradient Descent can optimize any function, including the ones without analytic form, by employing finite difference numerical differentiation within a gradient descent algorithm
A general and comprehensive toolkit for generating finite difference formulas, working with Taylor series expansions, and teaching/learning finite difference formulas in Python
Labels excited state potential energy curves (PECs) in electronic structure calculations by enforcing the continuity of the excited-state energies and properties
Python library for computing non-uniform 1D finite difference derivatives
Utilization of finite difference methods for the purpose of pricing European-style options
This code solves for the steady-state heat transport in a 2D model of a microprocessor, ceramic casing and an aluminium heatsink. It uses either Jacobi or Gauss-Seidel relaxation method on a finite difference grid. It can be run with the microprocessor only, microprocessor and casing, or microprocessor with casing and heatsink. Options for eithe…
python code to calculate 2D heat distribution
Schrodinger Equation Complex PDE Solver
Coupling approaches for classical linear elasticity and bond-based peridynamic models
1D Finite-Difference with AMR and steady-state solver using Newton and Split-Newton
Solving the Porous medium equation with a range of numerical finite difference methods.
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