Help with logistic growth problem

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SUMMARY

The discussion focuses on solving a logistic growth problem using a set of provided values for time (T), population (P), and the rate of change in population (dP/dt). The key equation to solve is the ordinary differential equation (ODE) given by dP/dt = kP(P0 - P), where k and P0 are constants that can be estimated from the data. The user seeks guidance on predicting the population at T=10 using the provided data points: (0.0, 2.0, 0.11), (37.71, 14.0, 0.62), (45.05, 19.0, 0.74), and (57.45, 29.0, 0.84).

PREREQUISITES
  • Understanding of logistic growth models
  • Familiarity with ordinary differential equations (ODEs)
  • Basic knowledge of population dynamics
  • Ability to perform curve fitting or parameter estimation
NEXT STEPS
  • Learn how to estimate parameters k and P0 from data points in logistic growth models
  • Study methods for solving ordinary differential equations (ODEs)
  • Explore numerical methods for predicting future population values
  • Investigate software tools for data analysis, such as Python's SciPy library for ODE solving
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Students in biology or mathematics, researchers in population dynamics, and anyone interested in modeling growth processes using logistic equations.

amazingAZN
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Hi all, I've got this logistic growth problem that I'm unsure of on how to start. I missed a day of class and don't have a chance to go to office hours, so any help would be much appreciated.

I've been given a set of values: time, population, and change in population.

The values are as follows, with each value correlation to each time value of course:
T=0.0, P=2.0, dP/dt=0.11
T=37.71, P=14.0, dP/dt=0.62
T=45.05, P=19.0, dP/dt=0.74
T=57.45, P=29.0, dP/dt=0.84

I've been asked to predict population, P at T=10.

A point in the right direction would be great, thanks.
 
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amazingAZN said:
Hi all, I've got this logistic growth problem that I'm unsure of on how to start. I missed a day of class and don't have a chance to go to office hours, so any help would be much appreciated.

I've been given a set of values: time, population, and change in population.

The values are as follows, with each value correlation to each time value of course:
T=0.0, P=2.0, dP/dt=0.11
T=37.71, P=14.0, dP/dt=0.62
T=45.05, P=19.0, dP/dt=0.74
T=57.45, P=29.0, dP/dt=0.84

I've been asked to predict population, P at T=10.

A point in the right direction would be great, thanks.

The ODE you are trying to solve is
<br /> \frac{dP}{dt} = kP(P_0 - P)<br />
for some constants k and P_0 which you can estimate from the given data for dP/dt and P.
 

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