Package jline.solvers.fluid.moments
package jline.solvers.fluid.moments
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ClassDescriptionMoment closures of the fluid drift, backing
options.method='minnormal'of SolverFluid.A vector of capacity shares together with its Jacobian, and the joint-closure covariance Cov(S_j,N) and its Jacobian.A closure value together with its first two derivatives with respect to the mean.Detects a moment-closure trajectory that has left the model.WhetherDaeAnalyzercan answer a model, used by SolverFluid to trydaebefore dropping a declinedminnormalto a first-order method.Stationary covariance of the linear noise approximation.The stationary covariance together with the diagnostics of the reduced solve.WhetherMinNormalAnalyzercan answer a model, used by thedefaultmethod of SolverFluid to preferminnormalovermatrixwhen it applies.Event-based representation of the fluid population process, as required by the moment-closure methods of SolverFluid.The fluid fixed point has no stationary linear noise approximation: the drift Jacobian is not Hurwitz on the reachable subspace (balanced bottlenecks, a saturated multiclass station, an overloaded open station).Per-coordinate service share of the closing fluid ODE and its analytic Jacobian.Refined mean field correction of a fluid fixed point (Gast and Van Houdt, POMACS 1(2), 2017).The correction, plus what it took to compute it.A vector-valued function of the fluid state under a given closure.Rectangle probability of a multivariate normal, the cell integral behindSolverFluid.getProbAggrunder the moment-closure methods.