RajatChourasia's Stars
pehersto/ng
Neural Galerkin
Algopaul/ng_embeddings
pehersto/adeim
Adaptive discrete empirical interpolation method
StanfordASL/SSMR-for-control
AMReX-Codes/ATPESC-codes
Example codes for ATPESC
locuslab/mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
dae-cpp/dae-cpp
A simple but powerful header-only C++ DAE (Differential Algebraic Equation) system solver
Algopaul/PortHamiltonianBenchmarkSystems.jl
A collection of port-Hamiltonian benchmark systems
LLNL/sundials
Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
bmcage/odes
The ODES scikit for ordinary differential and algebraic equations, an extension to scipy
headmyshoulder/odeint-v2
odeint - solving ordinary differential equations in c++ v2
CoffeeBeforeArch/cuda_programming
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
vvflow/vvflow
CFD software for performing flow simulations with Viscous Vortex Domains (VVD) method
jnmlujnmlu/OpenFOAMTeaching
Willcox-Research-Group/ROM-OpInf-Combustion-2D
Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.
AleksandarHaber/Simulation-of-State-Space-Models-of-Dynamical-Systems-in-Cpp--Eigen-Matrix-Library-Tutorial
casadi/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
HiroIshida/robust-tube-mpc
Example implementation for robust model predictive control using tube
StanfordASL/soft-robot-control
Implementation of reduced-order optimal control schemes for finite element models of Soft Robots
CppCon/CppCon2017
Slides and other materials from CppCon 2017
StanfordASL/rompc
Reduced Order Model Predictive Control
AshleySetter/CythonWithCppTutorials
A few quick tutorials on using C++ function in Python code with Cython
agussomacal/ROMHighContrast
We consider a parametric elliptic PDE with a scalar piecewise constant diffusion coefficient taking arbitrary positive values on fixed subdomains. This problem is not uniformly elliptic, as the contrast can be arbitrarily high, contrarily to the Uniform Ellipticity Assumption (UEA) that is commonly made on parametric elliptic PDEs. We construct reduced model spaces that approximate uniformly well all solutions with estimates in relative error that are independent of the contrast level. These estimates are sub-exponential in the reduced model dimension, yet exhibiting the curse of dimensionality as the number of subdomains grows. Similar estimates are obtained for the Galerkin projection, as well as for the state estimation and parameter estimation inverse problems. A key ingredient in our construction and analysis is the study of the convergence towards limit solutions of stiff problems when diffusion tends to infinity in certain domains.
KarypisLab/METIS
METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering
puzzler10/autograd_simpler
Code for blog posts on tracing functions to automatically build a computational graph
loveBabbar/CodeHelp-DSA-Busted-Series
This repo is creating providing students easy access to all the programs taught under Codehelp's DSA Busted Series.
kwmsmith/scipy-2015-cython-tutorial
Content for the SciPy 2015 Cython tutorial: http://www.scipy2015.scipy.org/ehome/115969/289057/?&
jiffyclub/snakeviz
An in-browser Python profile viewer
joschu/cgt
Computation Graph Toolkit
nschloe/awesome-scientific-computing
:sunglasses: Curated list of awesome software for numerical analysis and scientific computing