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java.lang.Objectcom.numericalmethod.suanshu.analysis.differentiation.multivariate.GradientFunction
public class GradientFunction
Compute the gradient function, g(x), for a real scalar function f(x).
The gradient function evaluates the gradient at a point using a numerical method, e.g., finite difference.
g(x) has the same domain as f(x). Its range dimension is the same as the domain dimension.
| Nested Class Summary |
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| Nested classes/interfaces inherited from interface com.numericalmethod.suanshu.analysis.function.Function |
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Function.EvaluationException |
| Field Summary | |
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RealScalarFunction |
f
the real scalar function to compute the gradient for |
| Constructor Summary | |
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GradientFunction(RealScalarFunction f)
Construct a GradientFunction to compute the gradient numerically. |
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| Method Summary | |
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int |
dimension4Domain()
Get the number of variables of the function. |
int |
dimension4Range()
Get the dimension of the range space the function. |
Vector |
evaluate(double... x)
Compute g(x). |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
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public final RealScalarFunction f
| Constructor Detail |
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public GradientFunction(RealScalarFunction f)
f - a real scalar function| Method Detail |
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public Vector evaluate(double... x)
g(x).
A real function, f, takes a double array double[],
and maps it to a{x0,x1, ...,xn}
Vector,
f(x0, x1, ..., xn)
evaluate in interface RealVectorFunctionx - a point x
g(x)public int dimension4Domain()
FunctionFor example, for a univariate function, the domain dimension is 1. For a bivariate function, the domain dimension is 2.
dimension4Domain in interface Functionpublic int dimension4Range()
Function
For example, for a Rn->Rm function, the dimension of the range is m.
dimension4Range in interface Function
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