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SciMLTutorials.jl
auto-07p | SciMLTutorials.jl | |
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2 | 1 | |
113 | 709 | |
1.8% | 0.6% | |
7.8 | 1.5 | |
26 days ago | 9 days ago | |
Fortran | CSS | |
- | GNU General Public License v3.0 or later |
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auto-07p VS BifurcationKit.jl - a user suggested alternative
2 projects | 11 Feb 2024
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Error: multiple definitions of block data
The odepack.o is from a .f file and homcont.o is from a .f90. I'm not sure how to fix this error. I can't edit the homcont.f90 file, but I can edit odepack.f. Can someone help me with this? Thanks :)
SciMLTutorials.jl
What are some alternatives?
OrdinaryDiffEq.jl - High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
DiffEqSensitivity.jl - A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc. [Moved to: https://github.com/SciML/SciMLSensitivity.jl]
ModelingToolkitStandardLibrary.jl - A standard library of components to model the world and beyond
DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
18337 - 18.337 - Parallel Computing and Scientific Machine Learning
DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
diffeqpy - Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
StochasticDiffEq.jl - Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem