public class FlexfluxPareto
extends java.lang.Object
The goal of this analysis is to determine what objective (or set of objectives) an organism is optimizing.
It take as an argument a file containing the objective functions to test and experimental values, and finds out (in one, two and three dimensions) what objective optimization is closest to the experimental values.
The objectives that are optimized are those for witch the experimental values are the closest to the pareto surface.
The pareto surface is the surface in which all points are pareto optimal. This means that to increase the value of an objective, you must decrease another.
In this analysis, the objective function of the condition file is optional and ignored if present.
Modifier and Type | Field and Description |
---|---|
java.lang.String |
condFile |
java.lang.String |
example |
java.lang.String |
expFile |
boolean |
extended |
boolean |
h |
java.lang.String |
intFile |
double |
liberty |
java.lang.String |
message |
boolean |
nointInSolver |
java.lang.String |
outName |
boolean |
plot |
boolean |
plotAll |
int |
precision |
java.lang.String |
sbmlFile |
java.lang.String |
solver |
Constructor and Description |
---|
FlexfluxPareto() |
Modifier and Type | Method and Description |
---|---|
static void |
main(java.lang.String[] args) |
public java.lang.String message
public java.lang.String example
public java.lang.String sbmlFile
public java.lang.String condFile
public java.lang.String intFile
public java.lang.String expFile
public java.lang.String solver
public boolean nointInSolver
public boolean plot
public java.lang.String outName
public double liberty
public int precision
public boolean extended
public boolean plotAll
public boolean h