Package org.ddogleg.optimization.derivative

Class NumericalDerivativeForward

java.lang.Object
org.ddogleg.optimization.derivative.NumericalDerivativeForward
All Implemented Interfaces:
FunctionStoS
public class NumericalDerivativeForward extends Object implements FunctionStoS
Finite difference numerical gradient calculation using forward equation. Forward difference equation, f'(x) = f(x+h)-f(x)/h. Scaling is taken in account by h based upon the magnitude of the elements in variable x.

NOTE: If multiple input parameters are modified by the function when a single one is changed numerical derivatives aren't reliable.

  • Constructor Details

    • NumericalDerivativeForward

      public NumericalDerivativeForward(FunctionStoS function, double differenceScale)

    • NumericalDerivativeForward

      public NumericalDerivativeForward(FunctionStoS function)

  • Method Details

    • process

      public double process(double x)
      Description copied from interface: FunctionStoS
      Processes the input to compute an output.
      Specified by:
      process in interface FunctionStoS
      Parameters:
      x - input parameter
      Returns:
      output value