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"))

• GPU: none (CPU reference implementation only)

Usage

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

A design is a matrix that means that the row and column sums match the marginal distribution, and is Treating it as a matrix silently breaks mass conservation. This is an inspection as a plan. (Non-negative/finite) and then pay the cost. There is no limit to the total mass.

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