This is an extension of an in-house DG-FEM code in order to handle open boundaries.
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Updated
Nov 14, 2023 - C++
This is an extension of an in-house DG-FEM code in order to handle open boundaries.
This software package is designed to solve high order optimal control problems.
Hyunbin Kang's Portfolio
hiorder - a generics function and array library
Projeto proposto pela Trybe para a fixação de métodos para manipulação de arrays no JS - high order functions
Small wealth management tool
The Baroclinic Ekman Transport Equation Solver is a numerical code to simulate wind-driven surface boundary layer currents for steady-state 1D problems.
A two-dimensional nodal discontinuous Galerkin solver for the non-linear Euler equations with different boundary conditions.
Official code repo for ACL 2023 CRFIE.
Julia package that adds Legendre-Gauss-Lobatto (LGL) or Legendre-Gauss (LG) nodes for arbitrary order spectral elements to a linear 2D or 3D GMSH grid
Implementation of sum factorization for isogeometric analysis
This repository contains C/C++ code related to the projects of the CFD related disciplines: CC-297, CC-298 and CC-299.
GHOST: Generalized High-Order Solver Toolbox
Python code for High-order Finite Volume Method
Implicit representation of various things using PyTorch and high order layers
Experiments in language interpolation with high order sparse neural networks
Real-space grid Density Functional Theory for large systems
C++ Sample Code for demonstrating the accuracy of different integration schemes. This code is the sample code used in the following article:
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected a…
The open-source CFD code called BROADCAST discretises the compressible Navier-Stokes equations and then extracts the linearised N-derivative operators through Algorithmic Differentiation (AD) providing a toolbox for laminar flow dynamics.
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