SVD | Singular Value Decomposition. Factors an m × n matrix |
| into two matrices and a vector: |
| {[[m × m square orthogonal]],[[n × n square orthogonal]], |
| [real]}. |
| SVD(matrix) |
SVL | Singular Values. Returns a vector containing the singular |
| values of matrix. |
| SVL(matrix) |
TRACE | Finds the trace of a square matrix. The trace is equal to |
| the sum of the diagonal elements. (It is also equal to the |
| sum of the eigenvalues.) |
| TRACE(matrix) |
TRN | Transposes matrix. For a complex matrix, TRN finds the |
| conjugate transpose. |
| TRN(matrix) |
Identity Matrix | You can create an identity matrix with the IDENMAT |
| function. For example, IDENMAT(2) creates the 2×2 |
| identity matrix [[1,0],[0,1]]. |
| You can also create an identity matrix using the |
| MAKEMAT (make matrix) function. For example, entering |
| MAKEMAT(I¼J,4,4) creates a 4 × 4 matrix showing the |
| numeral 1 for all elements except zeros on the diagonal. |
| The logical operator ¼ returns 0 when I (the row number) |
| and J (the column number) are equal, and returns 1 when |
| they are not equal. |
Transposing a | The TRN function swaps the |
Matrix | elements of a matrix. For instance, element 1,2 (row 1, |
| column 2) is swapped with element 2,1; element 2,3 is |
| swapped with element 3,2; and so on. |
| For example, TRN([[1,2],[3,4]]) creates the matrix |
| [[1,3],[2,4]]. |
Matrices |