In mathematics, the Khatri–Rao product or block Kronecker product of two partitioned matrices A {\displaystyle \mathbf {A} } and B {\displaystyle \mathbf {B} } is defined as
A ∗ B = ( A i j ⊗ B i j ) i j {\displaystyle \mathbf {A} \ast \mathbf {B} =\left(\mathbf {A} _{ij}\otimes \mathbf {B} _{ij}\right)_{ij}}
in which the ij-th block is the mipi × njqj sized Kronecker product of the corresponding blocks of A and B, assuming the number of row and column partitions of both matrices is equal. The size of the product is then (Σi mipi) × (Σj njqj). For example, if A and B both are 2 × 2 partitioned matrices e.g.:
A = [ A 11 A 12 A 21 A 22 ] = [ 1 2 3 4 5 6 7 8 9 ] , B = [ B 11 B 12 B 21 B 22 ] = [ 1 4 7 2 5 8 3 6 9 ] , {\displaystyle \mathbf {A} =\left[{\begin{array}{c | c}\mathbf {A} _{11}&\mathbf {A} _{12}\\\hline \mathbf {A} _{21}&\mathbf {A} _{22}\end{array}}\right]=\left[{\begin{array}{c c | c}1&2&3\\4&5&6\\\hline 7&8&9\end{array}}\right],\quad \mathbf {B} =\left[{\begin{array}{c | c}\mathbf {B} _{11}&\mathbf {B} _{12}\\\hline \mathbf {B} _{21}&\mathbf {B} _{22}\end{array}}\right]=\left[{\begin{array}{c | c c}1&4&7\\\hline 2&5&8\\3&6&9\end{array}}\right],}
we obtain:
… excerpt ends here. Continue reading the full article.

![Khatri–Rao product: Transposed block face-splitting product in the context of a multi-face radar model[15]](https://upload.wikimedia.org/wikipedia/commons/thumb/4/4a/Transposed_Block_Face-Splitting_Product.jpg/1280px-Transposed_Block_Face-Splitting_Product.jpg?utm_source=en.wikipedia.org&utm_campaign=parser&utm_content=thumbnail)
