A solution, written in C, to the heat equation using Crank-Nicholson and finite differences.
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Updated
Jul 14, 2017 - C
A solution, written in C, to the heat equation using Crank-Nicholson and finite differences.
Assignment codes for Introduction to Numerical Analysis (2020, FGV-EMAp).
Learning about optimizing objective functions, efficient modeling and simulation algorithms in computational science.
A python based library to solve the ODE/PDE equations using the deep neural network. The package does not require any training data to solve the system of equations and could be leverged to solve the non-linear eqautions also. Four different boudary conditions are implemeneted.
Physics-informed refinement learning for equation discovery
Project to provide numerical methods to solve the Perthame equations exposed in his paper
A comfortable and functional Neovim PDE with an eye pleasing UI, that aims to be simple to extend and modify.
Nonlinear model reduction for operator learning
Computatinal physics University of Oslo
Finite element solver of diffusion-reaction systems
Computer Learns to solve a Rubik's Cube by itself.
This is a MatLab project I made for image reconstruction
Research project on financial math (option pricing, hedging, interest rate, etc...)
Computes the boundary crossing probability for a general diffusion process and time-dependent boundary.
Direct and Inverse Solver for Kinetic Capillary Electrophoresis (KCE)
Designing a WaveToy in Haskell, in progressively more elegant steps
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