• anonymous
Compare between the (guassian,gauss-jordan and LU factorization)methods for solving linear systems from the following view points: 1) Storage requirements. 2) Computational requirements. And hence suggest when to use each.
  • Stacey Warren - Expert
Hey! We 've verified this expert answer for you, click below to unlock the details :)
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
  • katieb
I got my questions answered at in under 10 minutes. Go to now for free help!
  • anonymous
This is a subjective question, but I'll do my best. By storage requirements, you mean the amount of memory/mind power/etc. for your brain/calculator needs, right? The one that would need the most "storage" would be the LU factorization. You might have to do more computations for Gauss and Gauss-Jordan. I personally hate LU factorizations you don't learn how to explicitly formulate them in elementary linear algebra, but you would use it when you have a lot of b's to calculate x for in the Ax = b equation. If you did Gauss or Gauss-Jordan, you would have to do elimination for b matrices, but you would only have to do ONE LU factorization. Use Gauss and Gauss-Jordan when you only have to solve for x in Ax = b when you only have one or two b's. It's a lot faster.

Looking for something else?

Not the answer you are looking for? Search for more explanations.