Report task: a comparison between your Julia code & the ARPACK library.

I used the power method with Householder deflation which takes the eigenvector you have from the first iteration and then transforms the matrix to map that vector to…

Report task: Working Julia code to compute the top two eigenvectors of a large sparse matrix

Overview: I started off by researching different ways to find the second largest eigenvector since I wasn’t already familiar with a method. I found a number of options…

Report task: Write code to compute the dominant eigenvector of a large sparse matrix. The code should work for at least a 10,000 by 10,000 matrix.

Overview: I choose to use the power method because it is the easiest way to find the dominant eigenvector of…

Hello! I’m Caitlin Kennedy, a junior at Purdue University double majoring in mathematics and computer science. This blog will follow my progress as I work on my scholarly project for the Purdue Honors College.