Maple Transactions

I am the Editor-in-Chief for Maple Transactions , a new open-access scholarly journal. The purpose of Maple Transactions is to disseminate excellent expositions on topics of interest to the Maple community. There are no page charges, and you need not use Maple to be published in this journal.

I am also on the executive for the Computer Assisted Research in Mathematics and Applications (CARMA) centre , and a member of the Rotman Institute of Philosophy.

My current obsession: Bohemian Matrices

The Wikipedia entry on Bohemian Matrices

My new book, with Neil Calkin and Eunice Chan! Open access, Open Educational Resource version

Computational Discovery on Jupyter Chapter 5 (or is it Unit 5? With a Jupyter Book the old words for divisions of a book are a bit obsolete) covers Bohemian matrices at an entry level. The book has now been published by SIAM (November 2023). You can find it at The SIAM Bookstore online

Jupyter and Maple

A version of the book using the Maple kernel for Jupyter notebooks is under construction. Here is one such notebook, which validates a hand computation of approximate zeros of the Fibonacci function.

An example Jupyter notebook linking to a Maple kernel.

Here is another, which is a paper in Maple transactions.

Two-cycles in the infinite exponential tower

The Computational Discovery on Jupyter Calendar 2024 is out! (Many images produced by the code from the book above)

Licensed under CC-by-SA 4.0.

Link to a PDF of the Computational Discovery on Jupyter Calendar 2024

For a description of the images, see the link to the CDJ repository

See bohemianmatrices.com for more information about Bohemian matrices.

Research Interests

I have three major overlapping research areas: computational dynamical systems, computational algebra, and computational special functions, each of which is used in scientific and engineering applications. My main overall concern is for the fidelity and reliability of these algorithms in actual applications. The main approach that I use is Computer-Mediated Thinking or Computational Discovery, or Computational Epistemology. That link goes to a paper describing that idea in a teaching context, but it is a much broader idea, namely that the combination of human plus computer, especially equipped with thin slices of Artificial Intelligence, can be better than the human alone.

• My academic CV
• My Google Scholar profile
• My YouTube Channel

  My channel includes some talks, and some course videos. I'm still learning, but making the videos is quite fun! There will be more.

• My Mastodon profile
• My computational discovery and epistemology home: The Rotman Institute of Philosophy
• My computer algebra research group: The Ontario Research Centre for Computer Algebra
• My LinkedIn profile

ACM says "Kudos" are important. Are they? Here is one of my papers, "kudo-ized." I suspect this fad will fade away.

Books

1. Perturbation Methods using backward error, FORTHCOMING from SIAM. Link goes to a repository here with subdirectories containing Maple worksheets and Jupyter Notebooks (and html from such) using a Maple kernel, which contain support material for the book. Comments welcome on the support material (email me at rcorless at uwo.ca )
2. Computational Discovery on Jupyter, at The SIAM Bookstore online
by myself and Neil Calkin and Eunice Chan.
3. Maple in Mathematics Education and Research an edited 2021 volume containing selected papers from the Maple Conference 2020 . Videos of talks still available at that link.
4. Algorithms and Complexity in Mathematics, Epistemology and Science (ACMES) An edited 2019 volume containing papers from the Computational Discovery/Computational Epistemology conferences
5. Nic Fillion and I wrote “A Graduate Introduction to Numerical Methods, From the Viewpoint of Backward Error Analysis” together for 2013. Here are some excerpts from reviews of the book
6. Essential Maple 2nd edition, 2002, foolishly entitled "Essential Maple 7".

Some Older Mathematical Visualizations

1. The Lambert W Function Poster
2. About the 1998 UWO Applied Math Coffee Mug Design (These mugs are collector's items, now)

Code Repositories for Books and Papers

1. Perturbation Methods in Maple from the ACMES book listed above, and now containing in subfolders the supporting material for our new book.
2. Nic Fillion's code repository for "A Graduate Introduction to Numerical Methods, From the Viewpoint of Backward Error Analysis"

Maple Documents and Workbooks and Worksheets and PDFs from talks

A free Maple Player which can read Maple Worksheets is available at Mapleplayer . Some talks are in pdf, some in html, and some are Maple worksheets or workbooks or links to the Maple Cloud.
1. Guest Lecture notes
2. Differential Equations in Maple (HTML of a Jupyter Notebook with a Maple kernel)
3. Gamma and Factorial in the Monthly a talk given at Aalto 2024-10-08; Maple worksheet stored on the Maple Cloud
4. Floats for Philosophers My talk for the Rotman Institute Computational Epistemology seminar
5. Slides for my talk "Hermite Interpolational Bohemians" at LALO60
6. Slides for my talk "Perturbation methods using backward error" at CUNEF 2024-10-23
7. HTML version of my talk Surprising Companions for DW75 in Leuven
8. Jupyter Notebook for Part II of my talk 2024-03-25 at woRK2024
9. Slides for Part I of my talk 2024-03-25 at woRK2024
10. Talk slides for guest lecture 2023-11-06 at CUNEF: Moler's Law
11. Talk slides for the Maple Conference October 27 2023
12. Talk slides for Cardiff October 16 2023
13. Talk slides for CICM (Cambridge) Sept 2023
14. Talk slides for Blendstrings: An Environment for Computing with Smooth Functions, Numerical Analysis in the 21st century, Oxford, Aug 2023
15. Talk slides for Teaching Mathematics in a Mechanized Environment (CUNEF 2023-06-28)
16. Talk slides for ILAS July 2023
17. My talk, Generalized Standard Triples, for FMD60 in Madrid July 2023
18. My talk for ANODE, February 2023
19. Mathieu Functions in Maple for the Maple Conference 2022
20. Algebraic Companions (for ILAS 2022, Galway)
21. Computational Discovery with Newton Fractals, Bohemian Matrices, & Mandelbrot Polynomials (for ATCM)
22. Hybrid symbolic-numeric methods for Bohemian matrices
23. Mathieu Functions: A Historical Perspective
24. Blends in Maple from the Maple Conference 2020
25. The Functional Inverse of Gamma from a number of places

My allergies

My (boring) allergies, as of October 2021