问题
Further to this question, I have the same model implemented in ParameterizedFunctions.jl
DSL. The following MWE works:
using DifferentialEquations
using Plots
# Modeling a consecutive / parallel reaction in a CSTR
# A --> 2B --> C, C --> 2B, B --> D
# PETERSEN-Matrix
# No. A B C D Rate
# 1 -1 2 k1*A
# 2 -2 1 k2*B*B
# 3 2 -1 k3*C
# 4 -1 1 k4*B
fpr! = @ode_def ConsecutiveParallelReaction begin
dA = -k_1*A + q_in/V_liq*(A_in - A)
dB = 2*k_1*A - 2*k_2*B*B + 2*k_3*C - k_4*B + q_in/V_liq*(B_in - B)
dC = k_2*B*B - k_3*C + q_in/V_liq*(C_in - C)
dD = k_4*B + q_in/V_liq*(D_in - D)
end k_1 k_2 k_3 k_4 q_in V_liq A_in B_in C_in D_in
u0 = [1.5, 0.1, 0, 0]
params = [1.0, 1.5, 0.75, 0.15, 3, 15, 0.5, 0, 0, 0]
tspan = (0.0, 15.0)
prob = ODEProblem(fpr!, u0, tspan, params)
sol = solve(prob)
plot(sol)
However, with sol = solve(prob, Rosenbrock23())
(and even with autodiff=false
), the following error occurs:
ERROR: LoadError: MethodError: Cannot `convert` an object of type Array{Float64,1} to an object of type Float64
I suppose it is a similar issue like the abovementioned, but since I have not explicitly defined any Float64
vectors here and autodiff=false
does not eliminate the error, I don't know how to fix this. Any suggestions?
回答1:
From the comments it seems like this actually works.
来源:https://stackoverflow.com/questions/54438451/how-to-get-rosenbrock23-to-work-with-ode-in-parameterizedfunctions-jl-dsl