DynamicOED.jl
DynamicOED.jl: A Julia package for solving optimum experimental design problems - Published in JOSS (2024)
Science Score: 95.0%
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Published in Journal of Open Source Software
Keywords
Repository
Optimal experimental design of ODE and DAE systems in julia
Basic Info
- Host: GitHub
- Owner: mathopt
- License: mit
- Language: Julia
- Default Branch: main
- Homepage: https://mathopt.github.io/DynamicOED.jl/
- Size: 914 KB
Statistics
- Stars: 11
- Watchers: 1
- Forks: 0
- Open Issues: 12
- Releases: 3
Topics
Metadata Files
README.md
DynamicOED.jl
Repository for optimal experimental design for differential equations using optimal control.
DynamicOED.jl uses multiple packages of Julia's SciML ecosystem, especially ModelingToolkit.jl, DifferentialEquations.jl and Optimization.jl to define optimal experimental design problems using optimal control.
Features
- Currently we support Ordinary Differential Equations and Differential Algebraic Equations.
- Relaxed and Integer formulations of the underlying problem
- Unknown initial conditions
- Continuous and discrete controls (in terms of the variable)
- Variable (measurement) rates for observed and control variables
- Custom constraints
Example
```julia using DynamicOED using ModelingToolkit using Optimization, OptimizationMOI, Ipopt
Define the differential equations
@variables t @variables x(t)=1.0 [description = "State"] @parameters p[1:1]=-2.0 [description = "Fixed parameter", tunable = true] @variables obs(t) [description = "Observed", measurement_rate = 10] D = Differential(t)
@named simple_system = ODESystem([ D(x) ~ p[1] * x, ], tspan = (0.0, 1.0), observed = obs .~ [x.^2])
@named oed = OEDSystem(simplesystem) oed = structuralsimplify(oed)
Augment the original problem to an OED problem
oedproblem = OEDProblem(structuralsimplify(oed), FisherACriterion())
Define an MTK Constraint system over the grid variables
optimizationvariables = states(oedproblem)
constraintequations = [ sum(optimizationvariables.measurements.w₁) ≲ 3, ]
@named constraintset = ConstraintsSystem(constraintequations, optimization_variables, Num[])
Initialize the optimization problem
optimizationproblem = OptimizationProblem(oedproblem, AutoForwardDiff(), constraints = constraintset, integerconstraints = false)
Solven for the optimal values of the observed variables
solve(optimization_problem, Ipopt.Optimizer()) ```
Owner
- Name: MathOpt
- Login: mathopt
- Kind: organization
- Location: Germany
- Website: https://mathopt.de
- Repositories: 1
- Profile: https://github.com/mathopt
Research Group of Prof. Dr. Sebastian Sager
JOSS Publication
DynamicOED.jl: A Julia package for solving optimum experimental design problems
Authors
Otto von Guericke University Magdeburg, Germany
Otto von Guericke University Magdeburg, Germany
Otto von Guericke University Magdeburg, Germany
Editor
Patrick Diehl
Tags
optimization experimental design parameter estimationGitHub Events
Total
- Watch event: 2
- Create event: 282
Last Year
- Watch event: 2
- Create event: 282
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| JuliusMartensen | j****n@g****m | 65 |
| Christoph Plate | c****e@o****e | 49 |
| Daniel S. Katz | d****z@i****g | 1 |
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 16
- Total pull requests: 17
- Average time to close issues: about 15 hours
- Average time to close pull requests: 2 days
- Total issue authors: 4
- Total pull request authors: 3
- Average comments per issue: 1.69
- Average comments per pull request: 0.29
- Merged pull requests: 14
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- AlCap23 (13)
- KBodolai (1)
- joshuaeh (1)
- JuliaTagBot (1)
Pull Request Authors
- AlCap23 (20)
- chplate (4)
- danielskatz (2)
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Packages
- Total packages: 1
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Total downloads:
- julia 1 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
juliahub.com: DynamicOED
Optimal experimental design of ODE and DAE systems in julia
- Homepage: https://mathopt.github.io/DynamicOED.jl/
- Documentation: https://docs.juliahub.com/General/DynamicOED/stable/
- License: MIT
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Latest release: 0.1.2
published over 1 year ago
Rankings
Dependencies
- actions/cache v3 composite
- actions/checkout v4 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite
- actions/checkout v4 composite
- julia-actions/cache v1 composite
- julia-actions/setup-julia v1 composite
- actions/checkout v4 composite
- julia-actions/setup-julia latest composite
- JuliaRegistries/TagBot v1 composite