A space efficient flexible pivot selection approach to evaluate determinant and inverse of a matrix

This paper presents new approaches for finding the determinant and inverse of a matrix. The choice of pivot selection is kept arbitrary and can be made according to the users need. So the ill conditioned matrices can be handled easily. The algorithms are more efficient as they save unnecessary data storage by reducing the order of the matrix after each iteration in the computation of determinant and incorporating dictionary notation (Chvatal, 1983) in the computation of inverse matrix. These algorithms are highly class room oriented and unlike the matrix inversion method (Khan, Shah, & Ahmad, 2010) the presented algorithm does not need any kind of permutations or inverse permutations

Comparison of Gaussian method with the algorithm 2 for evaluating inverse of matrix.

<p>Comparison of Gaussian method with the algorithm 2 for evaluating inverse of matrix.</p

Comparison of row reduction method with algorithm 1 for evaluating determinant of matrix.

<p>Comparison of row reduction method with algorithm 1 for evaluating determinant of matrix.</p