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DET Determinant of a Matrix

Section: Array Generation and Manipulations

# Usage

Calculates the determinant of a matrix. Note that for all but very small problems, the determinant is not particularly useful. The condition number `cond` gives a more reasonable estimate as to the suitability of a matrix for inversion than comparing `det(A)` to zero. In any case, the syntax for its use is

      y = det(A)

where A is a square matrix.

# Internals

The determinant is calculated via the `LU` decomposition. Note that the determinant of a product of matrices is the product of the determinants. Then, we have that

where `L` is lower triangular with 1s on the main diagonal, `U` is upper triangular, and `P` is a row-permutation matrix. Taking the determinant of both sides yields

where we have used the fact that the determinant of `L` is 1. The determinant of `P` (which is a row exchange matrix) is either 1 or -1.

# Example

Here we assemble a random matrix and compute its determinant

    --> A = rand(5);
    --> det(A)

    ans =
       -0.0489

Then, we exchange two rows of `A` to demonstrate how the determinant changes sign (but the magnitude is the same)

    --> B = A([2,1,3,4,5],:);
    --> det(B)

    ans =
        0.0489