Package org.ddogleg.optimization.functions

Interface FunctionNtoS

All Known Subinterfaces:
LossFunction
All Known Implementing Classes:
LossCauchy.Function, LossHuber.Function, LossHuberSmooth.Function, LossIdentity.Function, LossIRLS, LossSquared.Function, LossTukey.Function, LossWeighted, LsToNonLinear
public interface FunctionNtoS
Function for non-linear optimization that has a single output and N inputs.

  • Method Summary

    Modifier and Type
    Method
    Description
    int
    getNumOfInputsN()
    The number of inputs.
    double
    process(double[] input)
    Computes the output given an array of inputs.

  • Method Details

    • getNumOfInputsN

      int getNumOfInputsN()
      The number of inputs. Typically the parameters you are optimizing.
      Returns:
      Number of inputs.

    • process

      double process(double[] input)
      Computes the output given an array of inputs.
      Parameters:
      input - Array containing input values
      Returns:
      The output.