Package jline.api.cache

Class Cache_miss_is

java.lang.Object

jline.api.cache.Cache_miss_is

public final class Cache_miss_is
extends Object

Method Summary

Modifier and Type	Method	Description
static Ret.cacheMissSpm	cache_miss_is(Matrix gamma, Matrix m, MatrixCell lambda)
static Ret.cacheMissSpm	cache_miss_is(Matrix gamma, Matrix m, MatrixCell lambda, int samples)	Computes cache miss rates using Monte Carlo importance sampling.
static Ret.cacheMissSpm	cache_miss_is(Matrix gamma, Matrix m, MatrixCell lambda, int samples, Matrix sigma, Matrix cap)	Computes cache miss rates by importance sampling, optionally under per-list storage cost caps.

Methods inherited from class java.lang.Object

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

Method Details

cache_miss_is

public static Ret.cacheMissSpm cache_miss_is(Matrix gamma,
 Matrix m,
 MatrixCell lambda,
 int samples)

Computes cache miss rates 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).

lambda - MatrixCell representing the request rates for different users or items.

samples - Number of Monte Carlo samples.

Returns:

Ret.cacheMissSpm containing miss rate metrics (M, MU, MI, pi0, lE).

cache_miss_is

public static Ret.cacheMissSpm cache_miss_is(Matrix gamma,
 Matrix m,
 MatrixCell lambda,
 int samples,
 Matrix sigma,
 Matrix cap)

Computes cache miss rates by importance sampling, optionally under per-list storage cost caps.

Parameters:

gamma - Cache access factors (n x h).

m - Cache capacity vector (1 x h).

lambda - Request rates per user per item.

samples - Number of Monte Carlo samples.

sigma - Item storage costs (sizes); null or empty for none.

cap - Per-list storage cost caps; null or empty for none.

Returns:

miss rate metrics (M, MU, MI, pi0, lE).

cache_miss_is

public static Ret.cacheMissSpm cache_miss_is(Matrix gamma,
 Matrix m,
 MatrixCell lambda)