Package jline.api.cache

Class Cache_isKt

  • All Implemented Interfaces:
    
public final class Cache_isKt

    • Nested Class Summary

      Nested Classes 
      Modifier and Type Class Description

    • Field Summary

      Fields 
      Modifier and Type Field Description

    • Constructor Summary

      Constructors 
      Constructor Description

    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description

    • Method Summary

      Modifier and Type Method Description
      final static Ret.cacheIs cache_is(Matrix gamma, Matrix m, Integer samples) Estimate the normalizing constant of the cache steady state distribution using Monte Carlo importance sampling.

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

    • Method Detail

      • cache_is

         final static Ret.cacheIs cache_is(Matrix gamma, Matrix m, Integer samples)

        Estimate the normalizing constant of the cache steady state distribution using Monte Carlo importance sampling.

        Parameters:
        gamma - Matrix representing the cache access factors (n x h).
        m - Matrix representing the cache capacity vector (1 x h).
        samples - Number of Monte Carlo samples (default: 100000).
        Returns:

        Ret.cacheIs containing the estimated normalizing constant E and its logarithm lE.