Package jline.solvers.fluid.moments


package jline.solvers.fluid.moments
  • Class
    Description
    Moment 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.
    Whether DaeAnalyzer can answer a model, used by SolverFluid to try dae before dropping a declined minnormal to a first-order method.
    Stationary covariance of the linear noise approximation.
    The stationary covariance together with the diagnostics of the reduced solve.
    Whether MinNormalAnalyzer can answer a model, used by the default method of SolverFluid to prefer minnormal over matrix when 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, POMACS 2017).
    The correction, plus what it took to compute it.
    Rectangle probability of a multivariate normal, the cell integral behind SolverFluid.getProbAggr under the moment-closure methods.