'On Fast Matrix Inversion' Cancellations Demonstration Worksheet

A Maple (2018) worksheet created to demonstrate cancellations found in the accompanying paper 'On Fast Matrix Inversion by Fast Matrix Multiplication', written by Zak Tonks and published on ArXiV. This worksheet also describes and demonstrates additional effects mentioned in the paper, such as the use of padding on the new object "Delta" in the fraction free case.

Matrix Inversion, Symbolic Computation

Cite this dataset as:
Tonks, Z., 2019. 'On Fast Matrix Inversion' Cancellations Demonstration Worksheet. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00577.


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'On Fast Matrix … Worksheet.mw
application/xml (210kB)
Creative Commons: Attribution 4.0


Zak Tonks
University of Bath


University of Bath
Rights Holder


Collection date(s):

30 November 2018


Data collection method:

Worksheet written, run, and saved by Zak Tonks, November 2018 using Maple 2018.0.

Technical details and requirements:

Written and run using Maple 2018.0, running on a PC running Windows 10 Pro, i5-2500 processor 3.3GHz, 16GB RAM. Worksheet presented for viewing at least, but one should be able to run successfully in a few minutes on any processor at least as good. Licensed copy of Maple required to view, tested and verified working in earliest version Maple 2017, but may run in earlier versions as no particular packages used.


Engineering and Physical Sciences Research Council (EPSRC)

PhD Studentship


PhD Studentship

Publication details

Publication date: 7 January 2019
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00577

URL for this record: https://researchdata.bath.ac.uk/id/eprint/577

Related papers and books

Tonks, Z., 2019. On Fast Matrix Inversion via Fast Matrix Multiplication. Version 1. arXiv. Available from: https://doi.org/10.48550/ARXIV.1901.00904.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Zak Tonks


Faculty of Science
Computer Science