SPRSIN function converts an array into a row-index
sparse storage mode, retaining only elements with an absolute magnitude greater than or equal to the specified threshold.
The result is a row-indexed sparse array contained in structure form. The structure consists of two linear sparse storage vectors: SA, a vector of array values, and IJA, a vector of subscripts to the SA vector. The length of these vectors is equal to the number of diagonal elements of the array, plus the number of off-diagonal elements with an absolute magnitude greater that or equal to the threshold value. Diagonal elements of the array are always retained even if their absolute magnitude is less than the specified threshold.
SPRSIN is based on the routine
described in section 2.7 of
Numerical Recipes in C: The Art of Scientific Computing
(Second Edition), published by Cambridge University Press, and is used by permission.
Result = SPRSIN(
array of any type except string or complex.
Set this keyword if the input array
is in column-major format (composed of column vectors) rather than in row-major format (composed of row vectors).
Set this keyword to convert the sparse array to double-precision.
Use this keyword to set the criterion for deciding the absolute magnitude of the elements to be retained in sparse storage mode. For single-precision calculations, the default value is 1.0
. For double-precision values, the default is 1.0
Suppose we wish to convert the following array to sparse storage format:
A = [[ 5.0, -0.2, 0.1], $
[ 3.0, -2.0, 0.3], $
[ 4.0, -1.0, 0.0]]
sparse = SPRSIN(A, THRESH = 0.5)
The variable SPARSE now contains a representation of A in structure form. See the description of FULSTR for an example that restores such a structure to full storage mode.