Constructor Detail

Method Detail

• pfqn_unique

   final static PfqnUniqueResult pfqn_unique(Matrix L, Matrix mu, Matrix gamma)

  Consolidate replicated stations into unique stations with multiplicity.

  Identifies stations with identical demand rows L(i,:) and (if present) identical load-dependent rates mu(i,:) or class-dependent rates gamma(i,:). Returns reduced matrices with only unique stations plus a multiplicity vector.

  Parameters:

  L - Service demand matrix (M x R)

  mu - Load-dependent rate matrix (M x Ntot), optional - pass null if not used

  gamma - Class-dependent service rate matrix (M x R), optional - pass null if not used

  Returns:

  PfqnUniqueResult containing reduced matrices and mapping information

• pfqn_expand

   final static Triple<Matrix, Matrix, Matrix> pfqn_expand(Matrix QN, Matrix UN, Matrix CN, IntArray mapping)

  Expand per-station metrics from reduced model to original dimensions.

  Expands performance metrics computed on a reduced model (with unique stations) back to the original model dimensions by replicating values according to mapping.

  Parameters:

  QN - Queue lengths from reduced model (M' x R)

  UN - Utilizations from reduced model (M' x R)

  CN - Cycle times from reduced model (M' x R)

  mapping - Mapping vector from pfqn_unique (length M), mappingi = unique station index

  Returns:

  Triple of (QN_full, UN_full, CN_full) in original dimensions (M x R)

• pfqn_combine_mi

   final static Matrix pfqn_combine_mi(Matrix mi, IntArray mapping, Integer M_unique)

  Combine user-provided multiplicity vector with detected replica multiplicity.

  For each unique station j, sums the mi values of all original stations mapping to it.

  Parameters:

  mi - User-provided multiplicity vector (1 x M_original)

  mapping - Mapping vector from pfqn_unique (length M_original)

  M_unique - Number of unique stations

  Returns:

  Combined multiplicity vector (1 x M_unique)