Models / Population Dynamics

Population dynamics

This model describes the population dynamics of an E. coli / C. glutamicum co-culture as a two-species competition with Monod-type growth. Each species grows according to its substrate affinity and maximum growth rate, and C. glutamicum additionally carries a density-dependent death term.

It is a simpler precursor to the dynamic enterobactin model, with no shared siderophore variable, and illustrates the baseline competition dynamics of the two organisms.

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Simulation parameters

mu_e 0.4
mu_c 0.3
a_e 6
a_c 4
theta 0.001
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Initial conditions

e_coli 5
c_gluta 5
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Analyses

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Model Details

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preview

Generated LaTeX Code

\begin{align*}
  \frac{d E.\ coli}{dt} &= E.\ coli \cdot a_e \cdot \mu_e \\ 
  \frac{d C.\ gluta}{dt} &= C.\ gluta \cdot a_c \cdot \mu_c - \theta \cdot C.\ gluta \cdot C.\ gluta
\end{align*}

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Fit settings

SettingValue
Fit backend
Function evaluations per progress update
Maximum total function evaluations
Stop once residual norm reaches
Curriculum learning (advanced)

Every bar shares one fixed step budget. Drag a divider to move a cutoff, drag a bar's top edge (or focus it and use the arrow keys) to change its share — the final stage isn't draggable, it always gets whatever's left. Double-click a bar or use its + to split it, use a divider's × (or Delete/Backspace while it's focused) to remove it.

Split into equal stages:
min viable
1000 it. (final)
t=0 t=100
StageData cutoffIteration budget
1 (final)full data1000 iterations (runs to convergence within this)

Data

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ParameterFitLog-spaceInitial guess / fixed value Fitted value
mu_e —
mu_c —
a_e —
a_c —
theta —

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