Is there an efficient way to create a 3 dimensional sparse matrix?
6 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Hello, all ! I have some 2 dimensional large sparse matrix (may be more than 102,400,000 * 102,400,000) and want them to generate a 3 dimensional sparse matrix. I have tried the ndSparse function, but through profile report, it occupies lots of time. I am wandering if there are some other more efficient methods are slove this problem ! Thank you very much!
3 Kommentare
Matt J
am 28 Okt. 2016
I have some 2 dimensional large sparse matrix (may be more than 102,400,000 * 102,400,000) and want them to generate a 3 dimensional sparse matrix
You mean you want to stack them to create a sparse array of size 102400000 x 102400000 x N? What is the density of these arrays (percentage of of nonzeros) and what will you do with them?
Akzeptierte Antwort
Jan
am 28 Okt. 2016
A solution depends on what you want to do with the data:
All sparse methods I know are optimized for 2D array manipulations. Therefore I assume, that the creation of the 3D-sparse array will not be the bottleneck for the complete program. If you do not need optimized 2D matrix manipulation methods, you can store the data in a cell array of 2d sparse matrices also, or in one 2D sparse array using a conversion of the indices.
0 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Sparse Matrices finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!