using NLsolve
using RecursiveArrayTools
function mymodel(F, vars)
for i in 1:2
x = vars.x[i]
F.x[i][1,1] = (x[1,1]+3)*(x[1,2]^3-7)+18.0
F.x[i][1,2] = sin(x[1,2]*exp(x[1,1])-1)
F.x[i][2,1] = (x[2,1]+3)*(x[2,2]^3-7)+19.0
F.x[i][2,2] = sin(x[2,2]*exp(x[2,1])-3)
end
end
# To show that the function works
F = ArrayPartition([0.0 0.0; 0.0 0.0],[0.0 0.0; 0.0 0.0])
u0= ArrayPartition([0.1 1.2; 0.1 1.2], [0.1 1.2; 0.1 1.2])
result = mymodel(F, u0)
vec(u0)
# To show the NLsolve error that results with ArrayPartition:
nlsolve(mymodel, u0)
This may be related to the way that linear algebra was implemented for the fix to this issue: #44 (comment)
The following MWE pertains to the implementation of
vec: basically, if the elements inside the ArrayPartition are vectors, all works as it should. However, if the ArrayPartition contents are matrices then the size of the return fromvecis incorrect.This may be related to the way that linear algebra was implemented for the fix to this issue: #44 (comment)