Matrix inverse and determinant

Finding inverse and determinant of matrix by order expansion and condensation
Updated 16 Dec 2015

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The inverse and determinant of a given square matrix can be computed by the following routine applying simultaneously matrix order expansion and condensation. After completing the iteration, the expansion process results in the inverse of the given matrix (invM), and the condensation process generate an array of pivot elements (p) which eventualy gives the determinant (detM) of the given matrix (M):
[invM,detM,p,s,rc] = inv_det_opt(M).
In summary: (1) if the given matrix is non-singular then its determinant is found to be equal to the product of pivot elements. (2) if the last pivot element is found shrinking sharply toward zero, then the given matrix is said to be singular.

Cite As

Feng Cheng Chang (2024). Matrix inverse and determinant (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R12
Compatible with any release
Platform Compatibility
Windows macOS Linux

Inspired by: inv_det_0(A), mtx_d(A,D,d)

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Version Published Release Notes

Update and re-write the m-code.
This author dose not expect anyone can provide any square matrix (as huge as 1000x1000) that can disprove the results by applying this optimal iteration processing routine.