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The CODEE Journal is a peer-reviewed, open-access publication, distributed by the CODEE (Community of Ordinary Differential Equations Educators) and published by the Claremont Colleges Library, for original materials that promote the teaching and learning of ordinary differential equations.
The CODEE Journal is an open access journal, which means that all content is freely available without charge to the user or their institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access. All articles are licensed with a Creative Commons license. The journal is archived by LOCKSS.
NEW! During the CODEE session at the 2023 Joint Mathematics Meetings in Boston, MA, the Editorial Board announced the theme for the 2023 CODEE Special Issue, "Engaging the World: Differential Equations Influence Public Policy."
Researchers and practitioners are invited to submit on (or before) March 15, 2023 (NEW DUE DATE) the following: a title, a detailed abstract of their proposed paper (maximum of 500 words), a short list of main references, and a brief description of authors. Authors will be notified by March 28, 2023 if their proposals are accepted. Full papers are expected to be submitted by June 6, 2023. All submitted papers will be reviewed on a double-blind review basis. Inquiries and submissions should be sent electronically to Dr. Samer Habre, firstname.lastname@example.org or special email@example.com.
Current Volume: Volume 15 (2022-2023)
Human Impact on Planetary Temperature and Glacial Volume: Extending a Toy Climate Model to a New Millennium
Samantha Secor and Jennifer Switkes
Maintaining Ecosystem and Economic Structure in a Three-Species Dynamical System in Chesapeake Bay
Maila Hallare and Iordanka Panayotova
A Generalized Method of Undetermined Coefficients
James S. Cook and William J. Cook
Introducing Systems via Laplace Transforms