Team:Evry/LogisticFunctions

From 2013.igem.org

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<p>These functions looked perfect, but we needed <b>more control</b> : we needed to set a starting value and a precision.</p>
<p>These functions looked perfect, but we needed <b>more control</b> : we needed to set a starting value and a precision.</p>
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<h2>Parameters:</h2>
<h2>Parameters:</h2>
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<li><b>k</b> : Efficiency.</li>
<li><b>k</b> : Efficiency.</li>
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  <p id="references">References:</p>
  <p id="references">References:</p>

Revision as of 10:43, 29 August 2013

Iron coli project

Logistic functions :

When we started to model biological behaviors, we realised very soon that we were going to need a function that simulates a non-exponential evolution, that would include a simple speed control and a maximum value. A smooth step function.

Such functions, named logistic functions were introduced around 1840 by M. Verhulst.

These functions looked perfect, but we needed more control : we needed to set a starting value and a precision.

Parameters:

  • Q : Magnitude.
    lim(g)=Q
  • d : Offset.
  • p : Precision.
    g(d)=Q*p
  • k : Efficiency.

References: