A Fast Algorithm for Solving Henderson's Mixed Model Equation
Jiwoong Kim

TL;DR
This paper introduces a fast, stable algorithm for solving Henderson's mixed model equation that avoids large matrix inversion by using row operations, improving computational efficiency and stability.
Contribution
The paper presents a novel algorithm that efficiently solves Henderson's mixed model equation without matrix inversion, enhancing stability and computational speed.
Findings
Algorithm avoids large matrix inversion
Ensures numerical stability in solutions
Reduces computational complexity
Abstract
This article investigates a fast and stable method to solve Henderson's mixed model equation. The proposed algorithm is stable in that it avoids inverting a matrix of a large dimension and hence is free from the curse of dimensionality. This tactic is enabled through row operations performed on the design matrix.
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Taxonomy
TopicsMatrix Theory and Algorithms · Neural Networks and Applications
