Compute the inverse of a matrix using QR factorization
Math Functions / Matrices and Linear Algebra
The QR Inverse block provides the inverse of the input matrix A by performing QR factorization.
Q is an orthogonal matrix and R is an upper triangular square matrix. For singular matrix input the output would contain NaN or +inf/-inf.
Data Type Support
Data type support is:
- Dimension: Input has to be a square matrix. Scalar and vector inputs are not supported.
- Data Types: Input supports signals of floating point data types (double, single, and half ). It does not support integer, boolean, and fixed-point data types.
- Complex Numbers: Complex numbers are not supported.
The output has the same dimension and data type as the input.
The QR Inverse block has no parameters to set.