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added missing Num in constraints #31

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merged 3 commits into from
May 21, 2024
Merged

added missing Num in constraints #31

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b8ccbe6
added missing Num in constraints
chplate May 21, 2024
78421df
added plot as png
chplate May 21, 2024
0e5e757
added information on contributions
chplate May 21, 2024
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -3,6 +3,7 @@
[![Latest Docs](https://img.shields.io/badge/docs-dev-blue.svg)](https://mathopt.github.io/DynamicOED.jl/dev/)
[![Aqua QA](https://raw.githubusercontent.com/JuliaTesting/Aqua.jl/master/badge.svg)](https://github.com/JuliaTesting/Aqua.jl) [![SciML Code Style](https://img.shields.io/static/v1?label=code%20style&message=SciML&color=9558b2&labelColor=389826)](https://github.com/SciML/SciMLStyle) ![Lifecycle:Experimental](https://img.shields.io/badge/Lifecycle-Experimental-339999)
[![Build Status](https://github.com/mathopt/DynamicOED.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/mathopt/DynamicOED.jl/actions/workflows/CI.yml?query=branch%3Amain)
[![ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://img.shields.io/badge/ColPrac-Contributor's%20Guide-blueviolet)](https://github.com/SciML/ColPrac)

Repository for optimal experimental design for differential equations using optimal control.

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2 changes: 1 addition & 1 deletion docs/src/examples/1D.md
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Expand Up @@ -69,7 +69,7 @@ constraint_equations = [
]

@named constraint_system = ConstraintsSystem(
constraint_equations, collect(optimization_variables), []
constraint_equations, collect(optimization_variables), Num[]
)
nothing # hide
```
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2 changes: 1 addition & 1 deletion docs/src/examples/lotka.md
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Expand Up @@ -65,7 +65,7 @@ constraint_equations = [
]

@named constraint_system = ConstraintsSystem(
constraint_equations, collect(optimization_variables), []
constraint_equations, collect(optimization_variables), Num[]
)
nothing # hide
```
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2 changes: 1 addition & 1 deletion docs/src/index.md
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Expand Up @@ -64,7 +64,7 @@ constraint_equations = [
sum(optimization_variables.measurements.w₁) ≲ 3,
]

@named constraint_set = ConstraintsSystem(constraint_equations, optimization_variables,[])
@named constraint_set = ConstraintsSystem(constraint_equations, optimization_variables, Num[])

# Initialize the optimization problem
optimization_problem = OptimizationProblem(oed_problem, AutoForwardDiff(),
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4 changes: 2 additions & 2 deletions paper/paper.md
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Expand Up @@ -108,7 +108,7 @@ constraint_equations = [
]

@named constraint_system = ConstraintsSystem(
constraint_equations, optimization_variables, []
constraint_equations, optimization_variables, Num[]
)

optimization_problem = OptimizationProblem(
Expand All @@ -124,7 +124,7 @@ optimal_design = solve(optimization_problem, Ipopt.Optimizer();

Several extensions are planned for the future. First, a multiple shooting approach is planned. Also, other steps to increase the efficiency of our implementation may be considered. For example, in the case of fixed initial values and controls, the integration of $x$ and $G$ need to be done only once and can be decoupled from the numerical integration of $F$ and the subsequent optimization over $w$.

![Differential states, sensitivities of the states with respect to the parameters and the optimal sampling design for Lotka-Volterra system. \label{fig:lotka}](figures/lotka.pdf)
![Differential states, sensitivities of the states with respect to the parameters and the optimal sampling design for Lotka-Volterra system. \label{fig:lotka}](figures/lotka.png)


# Acknowledgements
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