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1-027-StochasticProcesses-ModelingScenario
24 Jan 2024 | Teaching Materials | Contributor(s):
By Brian Winkel
SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations
We build the infinite set of first order differential equations for modeling a stochastic process, the so-called birth and death equations. We will only need to use integrating factor solution...
https://qubeshub.org/publications/2975/?v=3
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1-027-StochasticProcesses-ModelingScenario
15 Oct 2023 | Teaching Materials | Contributor(s):
By Brian Winkel
SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations
We build the infinite set of first order differential equations for modeling a stochastic process, the so-called birth and death equations. We will only need to use integrating factor solution...
https://qubeshub.org/publications/2975/?v=2
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1-039-StochasticPopModels-ModelingScenario
25 May 2022 | Teaching Materials | Contributor(s):
By Daniel Flath
Macalester College, St. Paul Mn USA
We develop strategies for creating a population model using some simple probabilistic assumptions. These assumptions lead to a system of differential equations for the probability that a system is...
https://qubeshub.org/publications/3301/?v=1
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1-027-StochasticProcesses-ModelingScenario
04 May 2022 | Teaching Materials | Contributor(s):
By Brian Winkel
SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations
We build the infinite set of first order differential equations for modeling a stochastic process, the so-called birth and death equations. We will only need to use integrating factor solution...
https://qubeshub.org/publications/2975/?v=1
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Calculating Variance and Standard deviations using Integration
Collections |
21 Jun 2016 |
Posted by Timothy John Beaulieu
https://qubeshub.org/community/groups/calculus/collections/applications-of-differential-equations-and-integrals