A class of matrices (H-matrices) is introduced which have the following pro
perties. (i) They are sparse in the sense that only few data are needed for
their representation. (ii) The matrix-vector multiplication is of almost l
inear complexity. (iii) In general, sums and products of these matrices are
no longer in the same set, but their truncations to the H-matrix format ar
e again of almost linear complexity. (iv) The same statement holds for the
inverse of an H-matrix.
This paper is the first of a series and is devoted to the first introductio
n of the H-matrix concept. Two concret formats are described. The first one
is the simplest possible. Nevertheless, it allows the exact inversion of t
ridiagonal matrices. The second one is able to approximate discrete integra
l operators.