why is it easier to use the gaussian elimination method than cramer's rule when solving linear systems
Any ideas?
What do you mean by "easier"?
i know that it is a simpler to find the variables this way
you can use backsubstitution
it is better than cramer's rule when you have bigger matrixes, its homework question
Yes, Gauss was a master at solving problems by using the FEWEST steps possible.
cramer definitely uses more steps and gets more complicated with bigger matrixes
Unfortunately, he also used the fewest words possible in this work.
yes not enough explanation
But he is, historically considered the greatest mathematician.
is that true?
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.
thank you ooops
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