transport_cost — COLORTRANSPORT `plan_use` op

• Data kinds: transport_plan × matrix → scalar

• Call: import fullseye as fs; fs.ledger.transport_cost(plan, cost) (to call the implementation directly, import colortransport; colortransport.transport_cost(plan, cost); from the registry, opscolortransport.get("transport_cost"))

Usage

Total cost of a transport plan, <plan, cost>. The op that consumes a plan.

A plan is a matrix carrying the meaning "row and column sums equal the marginals", and treating it as an ordinary matrix silently breaks mass conservation. Here the cost is computed only after passing the checks for a plan (non-negative, sum about 1).

Background guides (the physics and conventions behind this op)

• colorimetry — Colorimetry and spectra — colour is fixed only by spectrum × illuminant × observer

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• color_transport — py -3.11 examples/color_transport.py

Ops the type connects to (they accept `scalar` as input)

—

Same category (`plan_use`)

apply_transport

*Provenance: colortransport.py — COLORTRANSPORT operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

transport_cost — COLORTRANSPORT plan_use op