Teaching Materials (1-5 of 5)

1. 2008-Lawson-Marion-An Introduction to Mathematical Modelling

   06 Apr 2023 | Teaching Materials | Contributor(s):

   By Daniel Lawson

   NA

   This is a broad based set of notes with sections: Building Models, Studying Models, and Using Models. No depth on any model, no solution strategies, but good references to models, and general...

   https://qubeshub.org/publications/4018/?v=1

2. 2008-Brewer-EtAl-Fitting ordinary differential equations to short time course data

   06 Apr 2023 | Teaching Materials | Contributor(s):

   By D M Brewer

   NA

   In this paper, we present a survey of existing algorithms and describe the main approaches. We also introduce and evaluate a new efficient technique for estimating ODEs linear in parameters...

   https://qubeshub.org/publications/4011/?v=1

3. 2019-Stender_EtAl-Recovery_Of_Differential_Equations_From_Impulse_Response

   08 Mar 2023 | Teaching Materials | Contributor(s):

   By Merton Stendel

   NA

   In this work, a recent method, which allows reconstructing differential equations from time series data, is extended for higher degrees of automation.

   https://qubeshub.org/publications/3734/?v=1

4. 6-067-LotkaVolterra-ModelingScenario

   16 May 2022 | Teaching Materials | Contributor(s):

   By Iordanka Panayotova¹, Maila Hallare²

   1. Christopher Newport University 2. NSU Math

   This modeling scenario guides students through the process of fitting the Lotka-Volterra model of two differential equations to a real time series observational data. Students use the capabilities...

   https://qubeshub.org/publications/3079/?v=1

5. IPMpack: an R package for Integral Projection Models

   11 Sep 2018 | Teaching Materials | Contributor(s):

   By C. Jessica E. Metcalf¹, Sean M. McMahon², Roberto Salguero-Gómez³, Eelke Jongejans⁴, Cory Merow⁵

   1. University of Oxford 2. Smithsonian Tropical Research Institute 3. University of Queensland 4. Radbound University Nijmegen 5. STRI and University of Connecticut

   IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.

   https://qubeshub.org/publications/779/?v=1