|
||||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Objectorg.gersteinlab.regulation.numeric.MultivariateFunction
org.gersteinlab.regulation.numeric.DifferentiableMultivariateFunction
public abstract class DifferentiableMultivariateFunction
A class that represents a differentiable multivariate real function. Each inherited class should implement at least one of gf(double) and gf().
Change History: 1.0 - Initial version
Field Summary |
---|
Fields inherited from class org.gersteinlab.regulation.numeric.MultivariateFunction |
---|
xStored |
Constructor Summary | |
---|---|
DifferentiableMultivariateFunction()
|
Method Summary | |
---|---|
double[] |
gf()
Evaluate the gradient of the function at the stored point. |
double[] |
gf(double[] x)
Evaluate the gradient of the function at a point. |
Methods inherited from class org.gersteinlab.regulation.numeric.MultivariateFunction |
---|
f, f, set |
Methods inherited from class java.lang.Object |
---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
---|
public DifferentiableMultivariateFunction()
Method Detail |
---|
public double[] gf(double[] x)
x
- The point
public double[] gf()
|
||||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |