Indian Journal of Science and Technology
DOI: 10.17485/ijst/2018/v11i45/138543
Year: 2018, Volume: 11, Issue: 45, Pages: 1-7
Original Article
Olayiwola Babarinsa1* and Hailiza Kamarulhaili2
1 Department of Mathematical Sciences, Federal University Lokoja, 1154 Lokoja, Kogi State, Nigeria; [email protected]
2 School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Pulau Pinang, Penang, Malaysia; [email protected]
*Author for correspondence
Olayiwola Babarinsa,
Department of Mathematical Sciences, Federal University Lokoja, 1154 Lokoja, Kogi State, Nigeria; [email protected]
Objectives: To show that modified Cramer’s rule is better than classical Cramer’s rule for solving linear systems in quadrant interlocking factorization or WZ factorization. Methods: The relative residual measurement of modified Cramer’s rule was compared with classical Cramer’s rule. Furthermore, we apply the rules in WZ factorization and evaluate their matrix norm on AMD and Intel processor. Findings: This study shows that the residual measurements of modified Cramer’s rule are 20% better than Cramer's rule. It also shows that the matrix norm of Cramer’s rule in WZ factorization is higher than using modified Cramer’s rule in the factorization. Application/improvements: Modified Cramer’s rule can be used to solve simple linear system. Applying the modified Cramer’s rule in WZ factorization using parallel computer or shared memory multiprocessor networks such as Intel Xeon Phi, Sunway Taihulight or OLCF-4 should be strongly considered.
Keywords: Cramer’s Rule, Matrix Norm, Quadrant Interlocking Factorization, WZ Factorization, Z- matrix
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