Develops a fluid model for non-stationary spatial networks by coupling Lagrangian transport with Eulerian geometry via optimal transport to derive information flux and kinematic predictors.
Isakov,Inverse Problems for Partial Differential Equations (2nd edition)
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Fluid-Spatiotemporal Stochastic Geometry: Information Flow in Non-Stationary Fields
Develops a fluid model for non-stationary spatial networks by coupling Lagrangian transport with Eulerian geometry via optimal transport to derive information flux and kinematic predictors.