Constructor Detail

Method Detail

• maph2m_fitc_theoretical

   final static MatrixCell maph2m_fitc_theoretical(MatrixCell mmap, String method)

  Fits the theoretical characteristics of a MMAP(n,m) with a M3PP(2,m).

  Parameters:

  mmap - The MMAP(n,m) to fit with a M3PP(2,m)

  method - Either "exact" or "approx" (default: "exact")

  Returns:

  Fitted M3PP(2,m) model

• maph2m_fitc_exact

   final static MatrixCell maph2m_fitc_exact(Double a, Double bt1, Double bt2, Double binf, Double t1, Double t2, Double tinf, DoubleArray ai, DoubleArray dvt3, Double t3)

  Exact fitting method using all available characteristics

• optimizeWithConstraints

   final static Pair<DoubleArray, Double> optimizeWithConstraints(DoubleArray initialParams, Function1<DoubleArray, Double> objectiveFunction, Integer maxFunEvals, Double tolerance)

  Enhanced optimization with constraints for exact fitting

• enforceConstraints

   final static Unit enforceConstraints(DoubleArray params)

  Enforce parameter constraints

• mmap_count_mean_class

   final static Double mmap_count_mean_class(MatrixCell mmap, Integer classIndex, Double t)

  Helper functions for MMAP analysis - these would be implemented with full MMAP theory

• mmap_count_var_class

   final static Double mmap_count_var_class(MatrixCell mmap, Integer classIndex, Double t)

• mmap_count_var_others

   final static Double mmap_count_var_others(MatrixCell mmap, Integer excludeClassIndex, Double t)

• computeScalarCountMean

   final static Double computeScalarCountMean(MatrixCell mmap, Double t)

  Compute scalar count mean from MMAP using proper theoretical analysis

• computeScalarCountVar

   final static Double computeScalarCountVar(MatrixCell mmap, Double t)

  Compute scalar count variance from MMAP using proper theoretical analysis