An entropic proximal scheme addresses the non-convex discrete Schrödinger bridge problem with incomplete marginal information, yielding duality results, optimal solution characterizations, and an observability condition for uniqueness, validated on laboratory water network contamination tracking.
United states environmental protection agency; a water security handbook: Planning for and responding to drinking water contamination threats and incidents
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A proximal approach to the Schr\"odinger bridge problem with incomplete information and application to contamination tracking in water networks
An entropic proximal scheme addresses the non-convex discrete Schrödinger bridge problem with incomplete marginal information, yielding duality results, optimal solution characterizations, and an observability condition for uniqueness, validated on laboratory water network contamination tracking.