A Julia package for solving three-term recurrence relationships

Infinite random arrays in Julia.

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Mirror of https://gitlab.kuleuven.be/numa/software/ApproximatingMapsBetweenLinearSpaces

A Julia package for real-time audification of ODEs and SDEs

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Reimplementation of a truncated multivariate distribution with fast, exact minimax-tilting based sampling.

Parameter estimation under uncertainty.

This Julia package performs the numerical integration of two Approximated Master Equations on networks: the Cavity Master Equation and the Conditional Dynamic Approximation

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

A simple package for MTK-based model testing

FMIBase.jl provides the foundation for the Julia packages FMIImport.jl and FMIExport.jl.

Parallel finite element library

Importers for the BaseModelica standard into the Julia ModelingToolkit ecosystem

ConceptualClimateModels.jl is a Julia package for creating and analysing conceptual models of climate, such as energy balance models, glaciation cycle models, or climate tipping models.

Build equations with informative errors for missing variables by explicitly assigning a process to each variable of the equations

Simple predictive models for tumor growth, and tools to apply them to clinical data

Parsers and processing for geoenergy data file formats in Julia.

Tools for post-processing solutions of immersed layer PDEs

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A Julia package for regression in the sphere based on Universal Differential Equations

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Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Optimal experimental design of ODE and DAE systems in julia

Automatic partitions of state space from a dynamical system

Import dynamic models in the SBML format into a ReactionSystem for Gillespie, SDE and ODE simulations

Algorithms for the transport of mass and energy in the environment

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Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension

This package simplifies evolutionary algorithms for applications in systems biology. It can be used to generate oscillating reaction networks, networks that match input timeseries data, or fit parameters (rateconstants).

Common galactic potential models as ModelingToolkit systems!

Julia implementation of joint models combining longitudinal and survival endpoints

A Julia library of positivity-preserving time integration methods

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Common solvers within orbital mechanics and astrodynamics.

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

Model coupled diffusion of major elements in garnet using natural data.