Package jline.api.cache

Class Cache_prob_isKt

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      Modifier and Type Method Description
      final static Matrix cache_prob_is(Matrix gamma, Matrix m, Integer samples) Computes cache hit probabilities using Monte Carlo importance sampling.

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

    • Constructor Detail

    • Method Detail

      • cache_prob_is

         final static Matrix cache_prob_is(Matrix gamma, Matrix m, Integer samples)

        Computes cache hit probabilities 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:

        Matrix (n x h+1) where probi,0 = miss probability for item i, probi,j+1 = hit probability for item i at level j.