Sparse matrices | Matrices

Block matrix

In mathematics, a block matrix or a partitioned matrix is a matrix that is interpreted as having been broken into sections called blocks or submatrices. Intuitively, a matrix interpreted as a block matrix can be visualized as the original matrix with a collection of horizontal and vertical lines, which break it up, or partition it, into a collection of smaller matrices. Any matrix may be interpreted as a block matrix in one or more ways, with each interpretation defined by how its rows and columns are partitioned. This notion can be made more precise for an by matrix by partitioning into a collection , and then partitioning into a collection . The original matrix is then considered as the "total" of these groups, in the sense that the entry of the original matrix corresponds in a 1-to-1 way with some offset entry of some , where and . Block matrix algebra arises in general from biproducts in categories of matrices. (Wikipedia).

Block matrix
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From playlist The Diagonalization of Matrices

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Computational fluid dynamics | Strassen algorithm | If and only if | Interpretation (logic) | Vector space | Linear algebra | Trace (linear algebra) | Schur complement | Main diagonal | Hamming(7,4) | Domain of a function | Diagonal matrix | Weinstein–Aronszajn identity | Determinant | Toeplitz matrix | Conformable matrix | Diagonal | Zero matrix | Block LU decomposition | Mathematics | Partition of a set | Square matrix | Biproduct | Category (mathematics) | Bijection | Eigenvalues and eigenvectors | Kronecker product | Tridiagonal matrix | Jordan normal form | Transpose | Einstein notation | Matrix multiplication | Matrix (mathematics) | Endomorphism | Invertible matrix | Range of a function