Documentation of 'edu.stanford.rsl.jpop.FunctionAssembler' Java class
FunctionAssembler
edu.stanford.rsl.jpop

Interface FunctionAssembler

  • All Known Implementing Classes:
    AdditiveFunctionAssembler


    public interface FunctionAssembler
    This interface provides methods to assemble the information after the block-wise processing of the evaluate, gradient, and hessian.
    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method and Description
      double assembleEvaluationBlocks(double[] blockResults)
      This method is provided with an array of block results and assembles them into a single function evaluation result.
      double[] assembleGradientBlocks(double[][] blockResults)
      This method is provided with an array of gradients which were obtained by the different processing blocks.
      double[][] assembleHessianBlocks(double[][][] blockResults)
      This method is provided with an array of hessians as computed fron the parallel procesing blocks.
    • Method Detail

      • assembleEvaluationBlocks

        double assembleEvaluationBlocks(double[] blockResults)
        This method is provided with an array of block results and assembles them into a single function evaluation result.
        Parameters:
        blockResults - the results of the processing blocks.
        Returns:
        the evaluation result
      • assembleGradientBlocks

        double[] assembleGradientBlocks(double[][] blockResults)
        This method is provided with an array of gradients which were obtained by the different processing blocks. The methods assembles the data into a single gradient vector. The first index of the gradient array is supposed to refer to the block number.
        Parameters:
        blockResults - the block results
        Returns:
        the assembled gradient vector
      • assembleHessianBlocks

        double[][] assembleHessianBlocks(double[][][] blockResults)
        This method is provided with an array of hessians as computed fron the parallel procesing blocks. The first index of the array should refer to the block index.
        Parameters:
        blockResults - the block results.
        Returns:
        the assembled Hessian.

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