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kexpmv (version 0.0.3)

mat2crs: Convert matrix to CRS format using SparseM function

Description

The EXPOKIT's expokit_dmexpv and expokit_dgexpv functions both deal with sparse matrices. These matrices have a lot of zeros, and can therefore be stored more efficiently by converting the matrix into CRS (Compressed Row Storage) format.

Usage

mat2crs(mat)

Arguments

mat

A square matrix.

Details

In EXPOKIT and its wrapper functions, a CRS-formatted matrix is input as 3 vectors:

ia = row pointer. This vector stores the location in the `a' vector that is the first non-zero element in a row. ja = column indices for non-zero elements. a = non-zero elements of the matrix.

Examples

Run this code
# NOT RUN {
# Make a square matrix
mat=matrix(c(-0.071207, 0, 0, 0.065573, -0.041206, 0, 0.005634, 0.014206, 0), nrow=3, byrow=TRUE)

# Covert to CRS format
mat2crs(mat)
print(mat)

# }

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