Input

• spfmt - Indicates the sparse storage format used for representing the sparse matrix. Use S3L_SPARSE_COO to specify the Coordinate format and S3L_SPARSE_CSR for the Compressed Sparse Row format.

• stype - A character string that specifies the type of random pattern to be used, as follows:

  • S3L_SPARSE_RAND - A random pattern.

  • S3L_SPARSE_DRND - A random pattern with guaranteed nonzero diagonal.

  • S3L_SPARSE_SRND - A random symmetric sparse array.

  • S3L_SPARSE_DSRN - A random symmetric sparse array with guaranteed nonzero diagonal.

• m - Indicates the total number of rows in the sparse matrix.

• n - Indicates the total number of columns in the sparse matrix.

• density - Positive parameter less than or equal to 1.0, which suggests the approximate density of the array. For example, if density = 0.1, approximately 10% of the array elements will have nonzero values..

• type - The type of the sparse array, which must be one of: S3L_integer, S3L_float, S3L_double, S3L_complex, or S3L_dcomplex.

• seed - An integer that is used internally to initialize the random number generators. It affects both the pattern and the values of the array elements. The results are independent of the number of processes on which the function is invoked.

• Note: The number of nonzero elements generated will depend primarily on the combination of the density argument value and the array extents given by m and n. The following guidelines provide additional detail:

• Usually, the number of nonzero elements will approximately equal m*n*density.The behavior of the algorithm may cause the actual number of nonzero elements to be somewhat smaller than m*n*density.Regardless of the value supplied for the density argument, the number of nonzero elements will always be >= m.