Logistic
PyCellChemistry documentation index
source code: src/Logistic.py

#---------------------------------------------------------------------------
#
# Logistic.py: chemical implementation of the logistic equation,
# comparison between ODE integration and Gillespie SSA
#
# logistic equation: dx/dt = r * x * (1 - x/K)
# where K is the maximum carrying capacity of the system
#
# by Lidia Yamamoto, Belgium, June 2013
#
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
#
# Copyright (C) 2015 Lidia A. R. Yamamoto
# Contact: http://www.artificial-chemistries.org/
#
# This file is part of PyCellChemistry.
#
# PyCellChemistry is free software: you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# version 3, as published by the Free Software Foundation.
#
# PyCellChemistry is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with PyCellChemistry, see file COPYING. If not, see
# http://www.gnu.org/licenses/
#


Modules
numpy
sys


Classes
LogisticGrowth


class LogisticGrowth
Methods defined here:
__init__(self)
initialize logistic growth example
run(self, finalvt)
run logistic growth example until simulation time finalvt
trace_conc(self, time)
produce tab-separated time vs. concentrations for plotting


Generated automatically by pydoc, July 10, 2015


Generated automatically by pydoc, July 10, 2015