The problem here is that the loop iterations are order-dependent. parfor can only operate when the iterations are independent - and the restrictions on indexing into t and p simply reflect that. Outputs from a parfor loop typically need to be sliced, as described in the documentation. Basically, this means that you must assign elements corresponding to the loop index only.
How to implement the "tsearchn" algorithm 2 in a parfor loop?
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hi!
I have been trying to implement the following for loop in the "tsearchn" function using a parfor.
t = nan(npt,1); % Simplex containing corresponding input point
p = nan(npt,ndim+1); % Barycentric coordinates for corresponding input point
X = [ones(size(x,1),1) x]; % Append 1s to vertex matrix
b = [ones(npt,1) xi]; % Append 1s to point matrix
parfor i = 1:ntri % Return the largest simplex index
% For each triangle
q = b / X(tri(i,:),:); % Compute barycentric coordinate of each point
I = all(q > myeps,2); % Find simplex where all coordinates are positive
t(I) = i; % Set simplex
p(I,:) = q(I,:); % Set barycentric coordinates
end
MATLAB gives me the following errors:
"The variable t in a parfor cannot be classified."
then in editor I get:
"Valid indices for t are restricted in PARFOR loops."
The same is true for the variable p.
Following the suggested links did not elucidate the matter for me.
Does anybody know how to convert it into a PARFOR loop?
Thanks!
0 commentaires
Réponses (2)
DroneDoctor
le 17 Avr 2018
1 commentaire
James Cairns
le 24 Oct 2019
Is there any change someone could explain how this was achieved? I realise this is an old thread but I'm trying to achieve exactly the same as above.
Voir également
Catégories
En savoir plus sur Delaunay Triangulation dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!