I feel I am missing a simpler approach to replicating the behaviour of a
Matlab structure. I am doing FEM, and require structure like behaviour for
my model initialisation and mesh generation. Currently I am using composite
type definitions, such as:
type Mesh
coords :: Array{Float64,
I feel I am missing a simpler approach to replicating the behaviour of a
Matlab structure. I am doing FEM, and require structure like behaviour for
my model initialisation and mesh generation. Currently I am using composite
type definitions, such as:
type Mesh
coords :: Array{Float64,
Thank you all for your help, what David suggested:
type MyType
a::Float64
b::Int64
MyType() = new()
end
was what I was originally looking for; this is neat, and effectively works
the same (syntactically) as a Matlab structure. Although it does seem like
Christo
Many thanks for this - the mesh library may very well be helpful in the
near future. As it stands I am replicating exactly some existing MATLAB
code that my group has been working with; the hope is to provoke a move
over to Julia by a straight speed-comparison! However our mesh construction
is
Many thanks for this Mauro - the mesh library may very well be helpful in
the near future. As it stands I am replicating exactly some existing MATLAB
code that my group has been working with; the hope is to provoke a move
over to Julia by a straight speed-comparison! However our mesh constructio
I have a function "myFunc.jl", say (in actuality, this is quite a mesh
generation function). I run my program once to start with, and then time
the second run:
julia> include("myFunc.jl")
myFunc (generic function with 1 method)
julia> myFunc();
julia> @time myFunc();
elapsed time: 2.745065871
Dear all,
I am experiencing some problems with eigs, and wondered if anyone had any
suggestions for a workaround.
I need to find the smallest positive eigenvalue, lambda, of the generalised
eigenvalue problem
A*v = lambda*B*v
Here, A and B are large, sparse symmetric stiffness matrices from a
