Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_concept
|
| gptkbp:appliesTo |
gptkb:machine_learning
gptkb:probability_theory economics logistics |
| gptkbp:describes |
finding the most efficient way to transport mass from one distribution to another
|
| gptkbp:field |
gptkb:mathematics
optimal transport |
| gptkbp:formedBy |
20th century
|
| gptkbp:generalizes |
gptkb:Monge_problem
|
| gptkbp:hasApplication |
Wasserstein distance
|
| gptkbp:hasConcept |
measure theory
cost function linear programming |
| gptkbp:hasType |
gptkb:transport_map
gptkb:transport_plan |
| gptkbp:namedAfter |
gptkb:Leonid_Kantorovich
gptkb:Gaspard_Monge |
| gptkbp:relatedTo |
gptkb:Kantorovich_relaxation
gptkb:Monge_problem |
| gptkbp:bfsParent |
gptkb:Kantorovich–Rubinstein_metric
gptkb:Brenier_map |
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
Monge–Kantorovich problem
|