collaborators

5 papers

math.NA2026

Sampling Pfaffian point processes and the symplectic Arnoldi method

Alan Edelman, Sungwoo Jeong, Simeon Schaub

We present an exact sampling algorithm for Pfaffian point processes based on a skew-symmetric analogue of the Cholesky factorization. This algorithm enables efficient sampling of a…

math.NA2026

The largest 5th pivot may be the root of a 61st degree polynomial

James Chen, Alan Edelman, John Urschel

This paper introduces a number of new techniques in the study of the famous question from numerical linear algebra: what is the largest possible growth factor when performing Gauss…

math.PR2026

On the Limit of the Tridiagonal Model for -Dyson Brownian Motion

Alan Edelman, Sungwoo Jeong, Ron Nissim

In previous work, a description of the result of applying the Householder tridiagonalization algorithm to a GE random matrix is provided by Edelman and Dumitriu. The resulting…

math.NA2025

On a perturbation analysis of Higham squared maximum Gaussian elimination growth matrices

Alan Edelman, John Urschel, Bowen Zhu

Gaussian elimination is the most popular technique for solving a dense linear system. Large errors in this procedure can occur in floating point arithmetic when the matrix's growth…

math.NA2025

A New Upper Bound For the Growth Factor in Gaussian Elimination with Complete Pivoting

Ankit Bisain, Alan Edelman, John Urschel

The growth factor in Gaussian elimination measures how large the entries of an LU factorization can be relative to the entries of the original matrix. It is a key parameter in erro…