Grid-based approximation of partial differential equations in Julia
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Updated
Mar 3, 2025 - Julia
Grid-based approximation of partial differential equations in Julia
Finite Element tools in Julia
Model and solve optimal control problems in Julia
Solve Fractional Differential Equations using high performance numerical methods
Julia Framework for Quantum Dynamics and Control
Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.
Gridap drivers for geoscience applications
Lecture slides and homework assignments for MA3227 Numerical Analysis II at the National University of Singapore.
Column and row updates to "Q-less" QR decomposition, including stable least-squares solves
Julia version of /~https://github.com/fediskhakov/dcegm
Propagators for Quantum Dynamics and Optimal Control
FdeSolver.jl: A Julia package for the numerical solution of fractional differential equations (FDEs) as well as systems of equations.
Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith
[DEPRECATED] Statistics & Numerical algorithms implemented in Julia.
Adaptive P/ODE numerics with Grassmann element TensorField assembly
A Julia package for set oriented computations.
Compute mean and variance of the univariate truncated normal distribution (works far from the peak).
A Julia implementation of Paolo Giannozzi's course: Numerical Methods in Quantum Mechanics
Numerical inversion of the Laplace Transform
Julia implementation of Krotov's method for quantum optimal control
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