Computational Discovery with Newton Fractals, Bohemian Matrices, & Mandelbrot Polynomials

Fuente: arXiv
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Autores principales: Calkin, Neil J., Chan, Eunice Y. S., Corless, Robert M.
Formato: Preprint
Publicado: 2021
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author Calkin, Neil J.
Chan, Eunice Y. S.
Corless, Robert M.
author_facet Calkin, Neil J.
Chan, Eunice Y. S.
Corless, Robert M.
contents The authors have been using a largely algebraic form of ``computational discovery'' in various undergraduate classes at their respective institutions for some decades now to teach pure mathematics, applied mathematics, and computational mathematics. This paper describes what we mean by ``computational discovery,'' what good it does for the students, and some specific techniques that we used.
format Preprint
id arxiv_https___arxiv_org_abs_2109_03765
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Computational Discovery with Newton Fractals, Bohemian Matrices, & Mandelbrot Polynomials
Calkin, Neil J.
Chan, Eunice Y. S.
Corless, Robert M.
History and Overview
97-02
The authors have been using a largely algebraic form of ``computational discovery'' in various undergraduate classes at their respective institutions for some decades now to teach pure mathematics, applied mathematics, and computational mathematics. This paper describes what we mean by ``computational discovery,'' what good it does for the students, and some specific techniques that we used.
title Computational Discovery with Newton Fractals, Bohemian Matrices, & Mandelbrot Polynomials
topic History and Overview
97-02
url https://arxiv.org/abs/2109.03765