Universality in numerical computation with random data. Case studies, analytic results and some speculations
Percy Deift, Thomas Trogdon

TL;DR
This paper explores universal behaviors in numerical computations with random data, presenting empirical and rigorous results, along with broader speculations on computation.
Contribution
It provides new insights into universality phenomena in numerical algorithms through case studies, analytical results, and speculative discussions.
Findings
Empirical observations of universality in numerical algorithms
Rigorous mathematical results supporting universality
Broader speculations on the nature of computation
Abstract
We discuss various universality aspects of numerical computations using standard algorithms. These aspects include empirical observations and rigorous results. We also make various speculations about computation in a broader sense.
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Combinatorial Mathematics · Advanced Algebra and Geometry
