Abstract
Although modeling phenomena with differential equations has a long and successful history over a wide range of applications, some situations lend themselves to adaptations that more seamlessly capture the entity being modeled. This chapter studies one such adaptation called a delay differential equation (DDE). A DDE is an ordinary differential equation that permits dependencies on historical information, and initial conditions are replaced with legacy assumptions that detail the solution’s previously observed behavior. A DDE is a welcome framework for processes that naturally depend on historical trajectories and not just initial values.
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See Indices of El Nino Evolution, K. Trenberth and D. Stepaniak, J. Climate, 14, 1697–1701; with latest update at www.esrl.noaa.gov/psd/data/climateindices/List/#TNI.
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Holder, A., Eichholz, J. (2019). Modeling with Delay Differential Equations. In: An Introduction to Computational Science. International Series in Operations Research & Management Science, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-030-15679-4_10
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DOI: https://doi.org/10.1007/978-3-030-15679-4_10
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