The Lanczos algorithm for matrix functions: a handbook for scientists
Tyler Chen

TL;DR
This handbook provides an accessible introduction to Lanczos-based methods for matrix functions, clarifying their behavior in finite precision arithmetic and unifying knowledge across communities.
Contribution
It offers a comprehensive, conceptual overview of Lanczos algorithms for matrix functions, addressing misconceptions and serving as a starting point for new researchers.
Findings
Clarifies the behavior of Lanczos methods in finite precision
Unifies knowledge from different research communities
Provides practical guidance for scientists and students
Abstract
Lanczos-based methods have become standard tools for tasks involving matrix functions. Progress on these algorithms has been driven by several largely disjoint communities, resulting many innovative and important advancements which would not have been possible otherwise. However, this also has resulted in a somewhat fragmented state of knowledge and the propagation of a number of incorrect beliefs about the behavior of Lanczos-based methods in finite precision arithmetic. This monograph aims to provide an accessible introduction to Lanczos-based methods for matrix functions. The intended audience is scientists outside of numerical analysis, graduate students, and researchers wishing to begin work in this area. Our emphasis is on conceptual understanding, with the goal of providing a starting point to learn more about the remarkable behavior of the Lanczos algorithm. Hopefully readers…
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Taxonomy
TopicsMatrix Theory and Algorithms
