jonniedie

## This example comes from https://diffeqflux.sciml.ai/dev/Flux/

using ComponentArrays
using OrdinaryDiffEq
using Plots
using UnPack

using DiffEqFlux: sciml_train
using Flux: glorot_uniform, ADAM, σ, relu
using Optim: LBFGS

jonniedie

using DifferentialEquations
using ModelingToolkit

# Time and time derivative
@parameters t
D = Differential(t)

# Forced Duffing oscillator
function Duffing(; name)
    @parameters α β

jonniedie

using ComponentArrays, DifferentialEquations, Plots, UnPack


## Functions
function lotka!(D, x, p, t)
    @unpack NB, NR = x
    @unpack ϵ₁, ϵ₂, γ₁, γ₂ = p

    D.NB =  ϵ₁*NB - γ₁*NR*NB
    D.NR = -ϵ₂*NR + γ₂*NR*NB

jonniedie

### A Pluto.jl notebook ###
# v0.16.1

using Markdown
using InteractiveUtils

# ╔═╡ b2663d22-8605-11eb-17fa-e90e625ac922
using ComponentArrays

# ╔═╡ 932b2cb6-8609-11eb-27d7-a393d81f6d8a

jonniedie

### A Pluto.jl notebook ###
# v0.16.4

using Markdown
using InteractiveUtils

# ╔═╡ 15da0afe-3e5b-11ec-031f-d9903463dce1
begin
	using ControlSystems
	using IntervalArithmetic

jonniedie

jonniedie

function deep_access(sol, names...)
	return map(sol.u) do u
		reduce(Base.maybeview, names; init=u)
	end
end