IMPLEMENTED_LOCAL_TESTEDGraph optimization

ALGORITHM ARTICLE

Dijkstra shortest path

Problem. Minimum-weight source-to-target path with nonnegative edge weights.

Core idea. Permanently settle the smallest tentative distance; nonnegative weights ensure that label can never improve later.

Procedure

  1. Set the source label to zero.
  2. Extract the smallest unsettled label from a heap.
  3. Relax outgoing edges and recover the predecessor chain.

Certificate. Registered-edge path plus label-setting optimality.

Data structures and API

from optfin_orlab import ExactGraphOracle

solver = ExactGraphOracle()
result = solver.shortest_path(...)

Complexity. O((|V|+|E|) log |V|)

Limits. Negative edge weights require another method.

OPTFIN AUDIT CHECKS

What has to reconcile before this method is trusted.

  • DefinitionProblem, objective, inputs and output are explicit.
  • Data structureThe public API and canonical source path are identified.
  • CorrectnessRegistered-edge path plus label-setting optimality.
  • ComplexityO((|V|+|E|) log |V|)
  • Operational limitNegative edge weights require another method.
  • ReproductionSource, executable test and evidence route remain linked.

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