3 papers
math.NA2025
Improved Convergence Factor of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations
Casey Garner, Gilad Lerman, Teng Zhang
This paper studies the commonly utilized windowed Anderson acceleration (AA) algorithm for fixed-point methods, . It provides the first proof that when the op…
math.OC2024
General Constrained Matrix Optimization
Casey Garner, Gilad Lerman, Shuzhong Zhang
This paper presents and analyzes the first matrix optimization model which allows general coordinate and spectral constraints. The breadth of problems our model covers is exemplifi…
math.OC2024
Novel Optimization Techniques for Parameter Estimation
Chenyu Wu, Nuozhou Wang, Casey Garner +2
In this paper, we introduce a new optimization algorithm that is well suited for solving parameter estimation problems. We call our new method cubic regularized Newton with affine…