Pinned Repositories
CSAM-Fortran
Fortran version of the Constrained Spectral Approximation Method
data_assimilation_examples
Simple data assimilation studies
mmidk
Course material I created for the tutorial "Mathematical Modelling in Climate Research" at the Freie Universität Berlin
modified_ch
Density functional theory (DFT) and self-consistent field theory (SCFT) simulation of diblock copolymers
probabilistic_forecasting_examples
Reproduced the examples and results from the textbook "Probabilistic Forecasting and Bayesian Data Assimilation" in Python
pyBELLA
A Python-based Blended sEamLess soLver for Atmospheric dynamics coupled to an ensemble data assimilation engine
pyCSAM
pyCSAM is a robust approach for approximating geodesic subgrid-scale orographic spectra with applications to weather forecasting and broader data analysis
steiner_solver
A Steiner graph solver using: binary heap, adjacency list, Dijkstra’s algorithm, OpenMP parallelisation, Takahashi and Matsuyama's heuristics, with tools for solution verification and validation
symplecticity
A simple study of symplectic integrators
tensor-train-decomposition
A short look at tensor-train decomposition with the Xerus library
ray-chew's Repositories
ray-chew/symplecticity
A simple study of symplectic integrators
ray-chew/pyBELLA
A Python-based Blended sEamLess soLver for Atmospheric dynamics coupled to an ensemble data assimilation engine
ray-chew/CSAM-Fortran
Fortran version of the Constrained Spectral Approximation Method
ray-chew/data_assimilation_examples
Simple data assimilation studies
ray-chew/mmidk
Course material I created for the tutorial "Mathematical Modelling in Climate Research" at the Freie Universität Berlin
ray-chew/modified_ch
Density functional theory (DFT) and self-consistent field theory (SCFT) simulation of diblock copolymers
ray-chew/probabilistic_forecasting_examples
Reproduced the examples and results from the textbook "Probabilistic Forecasting and Bayesian Data Assimilation" in Python
ray-chew/pyCSAM
pyCSAM is a robust approach for approximating geodesic subgrid-scale orographic spectra with applications to weather forecasting and broader data analysis
ray-chew/steiner_solver
A Steiner graph solver using: binary heap, adjacency list, Dijkstra’s algorithm, OpenMP parallelisation, Takahashi and Matsuyama's heuristics, with tools for solution verification and validation
ray-chew/tensor-train-decomposition
A short look at tensor-train decomposition with the Xerus library
ray-chew/xml_parser
A simple XML parser in C++