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@tmigot
tmigot committed Sep 25, 2024
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30 changes: 15 additions & 15 deletions introduction-to-optimizationproblems/index.md
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Expand Up @@ -8,11 +8,11 @@ tags:
- "manual"
---

[![NLPModels 0.20.0](https://img.shields.io/badge/NLPModels-0.20.0-8b0000?style=flat-square&labelColor=cb3c33)](https://jso.dev/NLPModels.jl/stable/)
[![NLPModelsJuMP 0.12.7](https://img.shields.io/badge/NLPModelsJuMP-0.12.7-8b0000?style=flat-square&labelColor=cb3c33)](https://jso.dev/NLPModelsJuMP.jl/stable/)
[![ADNLPModels 0.7.2](https://img.shields.io/badge/ADNLPModels-0.7.2-8b0000?style=flat-square&labelColor=cb3c33)](https://jso.dev/ADNLPModels.jl/stable/)
[![NLPModels 0.21.3](https://img.shields.io/badge/NLPModels-0.21.3-8b0000?style=flat-square&labelColor=cb3c33)](https://jso.dev/NLPModels.jl/stable/)
[![NLPModelsJuMP 0.13.2](https://img.shields.io/badge/NLPModelsJuMP-0.13.2-8b0000?style=flat-square&labelColor=cb3c33)](https://jso.dev/NLPModelsJuMP.jl/stable/)
[![ADNLPModels 0.8.7](https://img.shields.io/badge/ADNLPModels-0.8.7-8b0000?style=flat-square&labelColor=cb3c33)](https://jso.dev/ADNLPModels.jl/stable/)
![JuMP 1.23.2](https://img.shields.io/badge/JuMP-1.23.2-000?style=flat-square&labelColor=999)
[![OptimizationProblems 0.7.4](https://img.shields.io/badge/OptimizationProblems-0.7.4-8b0000?style=flat-square&labelColor=cb3c33)](https://jso.dev/OptimizationProblems.jl/stable/)
[![OptimizationProblems 0.9.0](https://img.shields.io/badge/OptimizationProblems-0.9.0-8b0000?style=flat-square&labelColor=cb3c33)](https://jso.dev/OptimizationProblems.jl/stable/)



Expand Down Expand Up @@ -77,7 +77,7 @@ jump_model_12 = OptimizationProblems.PureJuMP.woods(n=12)
A JuMP Model
├ solver: none
├ objective_sense: MIN_SENSE
│ └ objective_function_type: JuMP.AffExpr
│ └ objective_function_type: JuMP.NonlinearExpr
├ num_variables: 12
├ num_constraints: 0
└ Names registered in the model
Expand All @@ -94,7 +94,7 @@ jump_model_120 = OptimizationProblems.PureJuMP.woods(n=120)
A JuMP Model
├ solver: none
├ objective_sense: MIN_SENSE
│ └ objective_function_type: JuMP.AffExpr
│ └ objective_function_type: JuMP.NonlinearExpr
├ num_variables: 120
├ num_constraints: 0
└ Names registered in the model
Expand Down Expand Up @@ -154,8 +154,8 @@ ADNLPModel - Model with automatic differentiation backend ADModelBackend{
ForwardDiffADHvprod,
ForwardDiffADJprod,
ForwardDiffADJtprod,
ForwardDiffADJacobian,
ForwardDiffADHessian,
SparseADJacobian,
SparseADHessian,
ForwardDiffADGHjvprod,
}
Problem name: zangwil3
Expand All @@ -166,7 +166,7 @@ ADNLPModel - Model with automatic differentiation backend ADModelBackend{
low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
fixed: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 fixed: ████████████████████ 3
infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzh: ( 0.00% sparsity) 6 linear: ████████████████████ 3
nnzh: (100.00% sparsity) 0 linear: ████████████████████ 3
nonlinear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzj: ( 0.00% sparsity) 9
Expand Down Expand Up @@ -195,7 +195,7 @@ ADNLPModel - Model with automatic differentiation backend ADModelBackend{
EmptyADbackend,
EmptyADbackend,
EmptyADbackend,
ForwardDiffADHessian,
SparseADHessian,
EmptyADbackend,
}
Problem name: woods
Expand All @@ -206,7 +206,7 @@ ADNLPModel - Model with automatic differentiation backend ADModelBackend{
low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
fixed: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 fixed: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzh: ( 0.00% sparsity) 78 linear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzh: ( 73.08% sparsity) 21 linear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nonlinear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzj: (------% sparsity)
Expand All @@ -233,7 +233,7 @@ ADNLPModel - Model with automatic differentiation backend ADModelBackend{
EmptyADbackend,
EmptyADbackend,
EmptyADbackend,
ForwardDiffADHessian,
SparseADHessian,
EmptyADbackend,
}
Problem name: woods
Expand All @@ -244,7 +244,7 @@ ADNLPModel - Model with automatic differentiation backend ADModelBackend{
low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
fixed: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 fixed: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzh: ( 0.00% sparsity) 7260 linear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzh: ( 97.11% sparsity) 210 linear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nonlinear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzj: (------% sparsity)
Expand Down Expand Up @@ -273,7 +273,7 @@ ADNLPModel - Model with automatic differentiation backend ADModelBackend{
EmptyADbackend,
EmptyADbackend,
EmptyADbackend,
ForwardDiffADHessian,
SparseADHessian,
EmptyADbackend,
}
Problem name: woods
Expand All @@ -284,7 +284,7 @@ ADNLPModel - Model with automatic differentiation backend ADModelBackend{
low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
fixed: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 fixed: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzh: ( 0.00% sparsity) 78 linear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzh: ( 73.08% sparsity) 21 linear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nonlinear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzj: (------% sparsity)
Expand Down

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