Finite Element tools in Julia
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Updated
May 26, 2024 - Julia
Finite Element tools in Julia
Julia implementation of Krotov's method for quantum optimal control
Grid-based approximation of partial differential equations in Julia
Hybrid discretisation methods in Julia (VEM, HDG, HHO, etc) 🚧 🚧 🚧 Work in progress 🚧 🚧🚧
Explore efficient algorithms in Julia for finding zeros/fixed points of functions and data interpolation. This repository provides robust and optimized solutions for common numerical analysis tasks.
Nonlinear diffusion problems in Julia
Propagators for Quantum Dynamics and Optimal Control
Julia Framework for Quantum Dynamics and Control
A Julia package for solving linear systems and optimization problems using the Conjugate Gradient method
A package for computing fast tropical intersections
Fast QCD evolution and convolution
Gridap drivers for geoscience applications
Adaptive P/ODE numerics with Grassmann element TensorField assembly
ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.
Provides custom pure-julia numerical methods for the differentiation, interpolation, minimisation and root finding of univariate and multivariate functions.
Solve Fractional Differential Equations using high performance numerical methods
A Julia implementation of Paolo Giannozzi's course: Numerical Methods in Quantum Mechanics
Variational approximation by Gridap package to resolve T.I.S.E. in Julia
A Julia package for set oriented computations.
FdeSolver.jl: A Julia package for the numerical solution of fractional differential equations (FDEs) as well as systems of equations.
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