An Optimal Least-Square Solver For Scaled Partial-Isometric Linear Systems
Suvendu Kar, Murugesan Venkatapathi

TL;DR
This paper introduces an efficient $O(mn)$ direct least-squares solver tailored for scaled partial-isometric linear systems, including block diagonal cases, with numerical experiments demonstrating its effectiveness.
Contribution
The paper presents a novel $O(mn)$ direct solver specifically designed for scaled partial-isometric systems, expanding applicability to block diagonal cases with different scales.
Findings
Solver operates in $O(mn)$ time complexity.
Effective for block diagonal systems with distinct scales.
Numerical experiments confirm practical efficiency.
Abstract
We present an direct least-squares solver for linear systems with a scaled partial isometry. The proposed algorithm is also useful when the system is block diagonal and each block is a scaled partial isometry with distinct scaling factors. We also include numerical experiments as a demonstration.
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Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Optimization Algorithms Research · Model Reduction and Neural Networks
