In linear algebra, a semi-orthogonal matrix is a non-square matrix with real entries where: if the number of columns exceeds the number of rows, then the rows are orthonormal vectors; but if the number of rows exceeds the number of columns, then the columns are orthonormal vectors. == Properties == Let A {\displaystyle A} be an m × n {\displaystyle m\times n} semi-orthogonal matrix.
In linear algebra, a semi-orthogonal matrix is a non-square matrix with real entries where: if the number of columns exceeds the number of rows, then the rows are orthonormal vectors; but if the number of rows exceeds the number of columns, then the columns are orthonormal vectors. == Properties == Let A {\displaystyle A} be an m × n {\displaystyle m\times n} semi-orthogonal matrix.
Source: Wikipedia "Semi-orthogonal matrix" · CC BY-SA 4.0
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