Ismember with reduced memory footprint through block processing
Vous suivez désormais cette soumission
- Les mises à jour seront visibles dans votre flux de contenu suivi
- Selon vos préférences en matière de communication il est possible que vous receviez des e-mails
Applies ismember with flexible (reduced) memory footprint as shown in the snapshot.
If you are working with large datasets and ismember eats up completely the RAM, starts swapping on disk, freezes your pc, and causes lots of frustration, you might then want to split the task. This is what ismemberb() does for you, with equivalent results to ismember() applied to the whole dataset.
Syntax
The syntax:
=========
Basically, the same as in ismember() with the additional ability to specify in how many sub-blocks to process the inputs.
Examples:
========
% Run unit tests
ismemberb unit
% Default use
A = randi(100,[1e7,1]);
B = randi(100,[1e7,1]);
ismemberb(A,B)
% Custom block split
ismemberb(A,B, [2,3])
% Stress test vs ismember()
A = table(randi(1e6,[3e7,1]),randi(1e6,[3e7,1]));
B = table(randi(1e6,[3e7,1]),randi(1e6,[3e7,1]));
[idx1,pos1] = ismember(A,B);
[idx2,pos2] = ismemberb(A,B);
Issues:
======
Check and report new issues to https://github.com/okomarov/ismemberb/issues
Citation pour cette source
Oleg Komarov (2026). okomarov/ismemberb (https://github.com/okomarov/ismemberb), GitHub. Extrait(e) le .
Informations générales
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0.0 |
