Ask your own question, for FREE!
Mathematics 14 Online
OpenStudy (anonymous):

why is it easier to use the gaussian elimination method than cramer's rule when solving linear systems

OpenStudy (skullpatrol):

Any ideas?

OpenStudy (skullpatrol):

What do you mean by "easier"?

OpenStudy (anonymous):

i know that it is a simpler to find the variables this way

OpenStudy (anonymous):

you can use backsubstitution

OpenStudy (anonymous):

it is better than cramer's rule when you have bigger matrixes, its homework question

OpenStudy (skullpatrol):

Yes, Gauss was a master at solving problems by using the FEWEST steps possible.

OpenStudy (anonymous):

cramer definitely uses more steps and gets more complicated with bigger matrixes

OpenStudy (skullpatrol):

Unfortunately, he also used the fewest words possible in this work.

OpenStudy (anonymous):

yes not enough explanation

OpenStudy (skullpatrol):

But he is, historically considered the greatest mathematician.

OpenStudy (anonymous):

is that true?

OpenStudy (anonymous):

Sometimes, Cramer's rule must be applied to solve the problem. It is more difficult because it need the augmented matrix must be a square one and its determinant \(\neq\) 0. While Gaussian can apply to any of them.

OpenStudy (anonymous):

thank you ooops

Can't find your answer? Make a FREE account and ask your own questions, OR help others and earn volunteer hours!

Join our real-time social learning platform and learn together with your friends!
Can't find your answer? Make a FREE account and ask your own questions, OR help others and earn volunteer hours!

Join our real-time social learning platform and learn together with your friends!