Grid-based approximation of partial differential equations in Julia
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Updated
May 22, 2024 - Julia
Grid-based approximation of partial differential equations in Julia
Finite Element tools in Julia
Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.
Solve Fractional Differential Equations using high performance numerical methods
ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.
Julia Framework for Quantum Dynamics and Control
Column and row updates to "Q-less" QR decomposition, including stable least-squares solves
Propagators for Quantum Dynamics and Optimal Control
Lecture slides and homework assignments for MA3227 Numerical Analysis II at the National University of Singapore.
A shape preserving spline implementation in Julia
Compute mean and variance of the univariate truncated normal distribution (works far from the peak).
A Julia package for set oriented computations.
Gridap drivers for geoscience applications
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
NeuralFieldEq.jl: An efficient solver to compute Neural Field Equations in several scenarios
A Julia implementation of Paolo Giannozzi's course: Numerical Methods in Quantum Mechanics
Практикум по вычислительной теплофизике — онлайн-книга.
[DEPRECATED] Statistics & Numerical algorithms implemented in Julia.
Julia implementation of Krotov's method for quantum optimal control
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