Frobenius Norm Based Probability Distribution

[nathanielpritchard]

Write a function that computes a probability distribution over the rows or columns of a matrix, $A$

1. Computes the frobenius norm of $A$, $\|A\|_F^2$
2. Computes norm squared of each row/column
3. Returns vector of each (row/column norm squared)/ $\|A\|_F^2$
   See Page 5 for a description in the row case

• Add a folder in linear_samplers called induced_distributions
• Add file to that folder that Implements function that takes in a matrix, as input and a boolean indicating if a row or column distribution should be used. Should return a Weights data structure
• add include statement for file with method in linear_samplers.jl
• Export function in RLinearAlgebra.jl
• Add tests for the function
• Add a section under docs/src/api/linear_samplers.md about Matrix Induced Probability Distributions
• Add docstring reference to the created function under this new section