3 papers
math.NA2026
Optical Fourier Transform-Based Preconditioning for Large-Scale Inverse Problems
Chelsea Drum, Lucas Onisk, Ariana N. Brown +1
Fast Fourier Transform (FFT)-based preconditioners provide an efficient approach for approximating inverse operators in large-scale linear inverse problems when the underlying oper…
math.NA2026
Approximating matrix functions by block Krylov methods with randomized vectors
Josh Kane, Lucas Onisk, Lothar Reichel +1
The need to evaluate expressions of the form , where is a square matrix, is a function, and is a vector, arises in several areas of applied mat…
math.NA2025
On the Choice of Subspace for the Quasi-minimal Residual Method for Linear Inverse Problems
Moshen Hu, Lucas Onisk
Inverse problems arise in various scientific and engineering applications, necessitating robust numerical methods for their solution. In this work, we consider the effectiveness of…