This packages provides an alternative implementation of SparseMatrices that maintains a vector of SparseVectors. Such an implementation is best used when all matrix operations require access to just one column each.
using SparseVectorMatrix # Random Generation a = svmrand(100, 100, 0.1) # Getindex a[:, 1] # Returns an entire column quickly a[1, :] # Returns an entire row, but slowly. # SetIndex a[:, 1] = 1:100 # Assign an entire column quickly. a[1, :] = 1:100 # Assign an entire row, by slowly. #Concatenation b = svmrand(100, 100, 0.1) hcat(a, b) # Concatenates horizontally. Very fast. vcat(a, b) # Concatenates vertically. Not as fast. arr = [svmrand(100, 100, 0.1) for i in 1:4] hvcat((2,2), arr..) # Grid Concatenation. Quite fast.
- svmrand (Similar to sprand)
- A bunch of other basic methods like nnz, size, full, etc.