Matrikssuppression
Matrikssuppression is a term used in Swedish mathematical and data-science literature to describe the process of suppressing or masking elements of a matrix. In practice it denotes actions that reduce a matrix to a smaller or simpler form, either by removing rows and columns to form a submatrix or by masking selected entries, for example by setting them to zero. The exact meaning can vary with context, but the core idea is to focus on a part of the data or to enforce sparsity.
The main forms of matrikssuppression are row and column suppression, where certain rows and/or columns are
A simple example: for a 3x3 matrix A, suppressing the second row and the second column yields
Applications of matrikssuppression appear in numerical linear algebra, where reduced systems are solved more efficiently, in
See also: submatrix, minor, masking, sparsity, principal submatrix.