Package jline.api.nc
Class Me_oqn_blk
java.lang.Object
jline.api.nc.Me_oqn_blk
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Field Summary
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Method Summary
Modifier and TypeMethodDescriptionstatic MeOqnBlkResultme_oqn_blk(int M, Matrix lambda0, Matrix Ca0, Matrix mu, Matrix Cs, Matrix P, Matrix c, Matrix N, int[] blockrule) static MeOqnBlkResultme_oqn_blk(int M, Matrix lambda0, Matrix Ca0, Matrix mu, Matrix Cs, Matrix P, Matrix c, Matrix N, int[] blockrule, MeOqnOptions options, double damping) Maximum Entropy algorithm for a single-class open network with finite buffers.
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Field Details
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RULE_LOSS
public static final int RULE_LOSSDrop rule marker: a blocked job is discarded.- See Also:
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RULE_BAS
public static final int RULE_BASDrop rule marker: a blocked job is held in the upstream server.- See Also:
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Method Details
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me_oqn_blk
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me_oqn_blk
public static MeOqnBlkResult me_oqn_blk(int M, Matrix lambda0, Matrix Ca0, Matrix mu, Matrix Cs, Matrix P, Matrix c, Matrix N, int[] blockrule, MeOqnOptions options, double damping) Maximum Entropy algorithm for a single-class open network with finite buffers.- Parameters:
M- number of stationslambda0- external arrival rates [M x 1]Ca0- external interarrival scvs [M x 1]mu- service rates [M x 1]Cs- service scvs [M x 1]P- routing probabilities [M x M]; a row sum below one sends the residual flow out of the networkc- servers per station [M x 1], infinite marking an ISN- buffer capacity per station [M x 1] in jobs, in service included, infinite marking an unbounded bufferblockrule- policy at each finite buffer,RULE_LOSSorRULE_BASoptions- tolerance, iteration cap and verbositydamping- relaxation weight applied to the blocking probabilities- Returns:
- station metrics and the flow moments at the fixed point
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