LAPACK routines use the following matrix storage schemes:
Full storage: a matrix A is stored in a two-dimensional array a, with the matrix element aij stored in the array element a(i,j).
Packed storage scheme allows you to store symmetric, Hermitian, or triangular matrices more compactly: the upper or lower triangle of the matrix is packed by columns in a one-dimensional array.
Band storage: an m-by-n band matrix with kl sub-diagonals and ku super-diagonals is stored compactly in a two-dimensional array ab with kl+ku+1 rows and n columns. Columns of the matrix are stored in the corresponding columns of the array, and diagonals of the matrix are stored in rows of the array.
In "LAPACK Routines: Linear Equations" and "LAPACK Routines: Least Squares and Eigenvalue Problems", arrays that hold matrices in the packed storage have names ending in p; arrays with matrices in the band storage have names ending in b. For more information on matrix storage schemes, see "Matrix Arguments" in Appendix "Routine and Function Arguments".
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