Package jline.api.pfqn.nc
Class Pfqn_procomomKt
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- All Implemented Interfaces:
public final class Pfqn_procomomKt
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Method Summary
Modifier and Type Method Description final static Ret.pfqnProcomompfqn_procomom(Matrix L, Matrix N, Matrix Z, Double atol)Compute marginal queue-length probabilities using ProCoMoM final static Ret.pfqnProcomompfqn_procomom(Matrix L, Matrix N, Matrix Z)Compute marginal queue-length probabilities using ProCoMoM final static Ret.pfqnProcomompfqn_procomom(Matrix L, Matrix N)Compute marginal queue-length probabilities using ProCoMoM -
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Method Detail
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pfqn_procomom
@JvmOverloads() final static Ret.pfqnProcomom pfqn_procomom(Matrix L, Matrix N, Matrix Z, Double atol)
Compute marginal queue-length probabilities using ProCoMoM
- Parameters:
L-service demand matrix (M x R)
N-population vector (1 x R)
Z-think time vector (1 x R), null or empty for zeros
atol-absolute numerical tolerance (default: 1e-14)
- Returns:
Pr - marginal probability matrix (M x sumN+1), Q - mean queue lengths (M x 1)
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pfqn_procomom
@JvmOverloads() final static Ret.pfqnProcomom pfqn_procomom(Matrix L, Matrix N, Matrix Z)
Compute marginal queue-length probabilities using ProCoMoM
- Parameters:
L-service demand matrix (M x R)
N-population vector (1 x R)
Z-think time vector (1 x R), null or empty for zeros
- Returns:
Pr - marginal probability matrix (M x sumN+1), Q - mean queue lengths (M x 1)
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pfqn_procomom
@JvmOverloads() final static Ret.pfqnProcomom pfqn_procomom(Matrix L, Matrix N)
Compute marginal queue-length probabilities using ProCoMoM
- Parameters:
L-service demand matrix (M x R)
N-population vector (1 x R)
- Returns:
Pr - marginal probability matrix (M x sumN+1), Q - mean queue lengths (M x 1)
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