Code and data for "Generalizing Reduced Rank Extrapolation to Low-Rank Matrix Sequences" Article Swipe

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den Boef, Pascal , Kürschner, Patrick , Liu, Xiaobo , Maubach, Joseph , Saak, Jens , Schilders, Wil , Schulze, Jonas , van de Wouw, Nathan ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.5281/zenodo.17880162

Please read the contained README.md for further information on the files included and their particular licenses. This version of rre.zip contains a small set of new experiments, defined by code/run_all_appendix.m. We did not re-run all our experiments, i.e. data/RUNME.log is identical to the previous version of this Zenodo deposit. Instead, run_all_appendix.log contains the output of those new experiments alone.

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Theoretical Computer Science

Generalization

Data Mining

Concepts

Algorithm Extrapolation Code (set theory) Set (abstract data type) Mathematics Rank (graph theory) Matrix (chemical analysis) Data set Computer science Combinatorics Source code Discrete mathematics Table (database) Low-rank approximation Data Matrix Theoretical computer science Generalization Computation Data mining Matrix method

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Landing Page: https://doi.org/10.5281/zenodo.17880162
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DOI: https://doi.org/10.5281/zenodo.17880162

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Title: Code and data for "Generalizing Reduced Rank Extrapolation to Low-Rank Matrix Sequences"

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Publication year: 2025

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Publication date: 2025-12-10

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Authors: den Boef, Pascal, Kürschner, Patrick, Liu, Xiaobo, Maubach, Joseph, Saak, Jens, Schilders, Wil, Schulze, Jonas, van de Wouw, Nathan

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Landing page: https://doi.org/10.5281/zenodo.17880162

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Concepts: Algorithm, Extrapolation, Code (set theory), Set (abstract data type), Mathematics, Rank (graph theory), Matrix (chemical analysis), Data set, Computer science, Combinatorics, Source code, Discrete mathematics, Table (database), Low-rank approximation, Data Matrix, Theoretical computer science, Generalization, Computation, Data mining, Matrix method

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