Uses of Class
jline.api.cache.CacheSojourn.Clock

Packages that use CacheSojourn.Clock

Package	Description
jline.api.cache	Cache modeling algorithms and performance analysis methods.

Uses of CacheSojourn.Clock in jline.api.cache

Methods in jline.api.cache that return CacheSojourn.Clock

Modifier and Type	Method	Description
static CacheSojourn.Clock	CacheSojourn.holdingClock(Matrix D0in, Matrix D1in, double lam)	The holding-time clock of a random-environment stage whose holding time is the MAP {D0,D1}, in a drift time unit that is lam times real time: A = D0/lam, c = -D0 1/lam, phi0 = map_pie, so that int_0^T g = F(T/lam) with F the holding-time CDF.

Methods in jline.api.cache with parameters of type CacheSojourn.Clock

Modifier and Type	Method	Description
static CacheSojourn.Result	CacheSojourn.average(CacheSojourn.Drift f, double[] x0, double t1, CacheSojourn.Clock clk)	Integrates the augmented system over [0, t1] from x0 and returns the clock-weighted average, with the MATLAB cache_miss_rmf tolerances (AbsTol 1e-10, RelTol 1e-8).
static CacheMissRmfTranResult	Cache_miss_fifo_rmf.cache_miss_fifo_rmf_tran(Matrix gamma, Matrix m, Matrix[] lambdaCache, double time, int nPoints, double[] xinit, Matrix[][] accost, CacheSojourn.Clock clk)	As above, and with a non-null clk also the grid-independent average of the transient against that clock (CacheMissRmfTranResult.sojourn).
static CacheMissRmfTranResult	Cache_miss_rmf.cache_miss_rmf_tran(Matrix gamma, Matrix m, Matrix[] lambdaCache, double[] tspan, double[] xinit, Matrix[][] accost, CacheSojourn.Clock clk)	MATLAB-style transient: tspan = [t0, t1] integrated with adaptive output (or a longer tspan returned at exactly those instants), via CacheSojourn.cache_sojourn_ode(jline.api.cache.CacheSojourn.Drift, double[], double[], jline.api.cache.CacheSojourn.Clock) with the same drift the fixed point uses and the MATLAB odeset('AbsTol',1e-10,'RelTol',1e-8).
static CacheMissRmfTranResult	Cache_miss_rmf.cache_miss_rmf_tran(Matrix gamma, Matrix m, Matrix[] lambdaCache, double time, int nPoints, double[] xinit, CacheSojourn.Clock clk)	As above, and with a non-null clk also the grid-independent average of the transient against that clock (CacheMissRmfTranResult.sojourn).
static CacheMissRmfTranResult	Cache_miss_rmf.cache_miss_rmf_tran(Matrix gamma, Matrix m, Matrix[] lambdaCache, double time, int nPoints, double[] xinit, Matrix[][] accost, CacheSojourn.Clock clk)	As above, honouring the access graph accost ([user][item], null for the linear chain): the transient then follows the general drift the graph's fixed point is taken on, as in Cache_miss_rmf.cache_miss_rmf(Matrix, Matrix, Matrix[], Matrix[][]).
static CacheMissRmfTranResult	Cache_miss_sfifo_rmf.cache_miss_sfifo_rmf_tran(Matrix gamma, Matrix m, Matrix[] lambdaCache, double time, int nPoints, double[] xinit, Matrix[][] accost, CacheSojourn.Clock clk)	As above, and with a non-null clk also the grid-independent average of the transient against that clock (CacheMissRmfTranResult.sojourn).
static CacheSojourn.OdeResult	CacheSojourn.cache_sojourn_ode(CacheSojourn.Drift f, double[] tspan, double[] x0, CacheSojourn.Clock clk)	Java twin of MATLAB cache_sojourn_ode(drift, tspan, x0, wgen, odeopt) with the ode15s default tolerances (RelTol 1e-3, AbsTol 1e-6).
static CacheSojourn.OdeResult	CacheSojourn.cache_sojourn_ode(CacheSojourn.Drift f, double[] tspan, double[] x0, CacheSojourn.Clock clk, double relTol, double absTol)	Integrates dx/dt = f(x) over tspan from x0 and, when clk is given, the clock-weighted average of the trajectory carried as extra state (phi, int g x, int g), so that it is accurate to the ODE tolerance and independent of the output grid.