Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Алгоритм Топ-Трейдинг Циклов× | Алгоритм Гейла-Шепли× | |
|---|---|---|
| Область | Теория игр | Теория игр |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 1974 | 1962 |
| Автор метода≠ | Lloyd Shapley, Herbert Scarf | David Gale, Lloyd Shapley |
| Тип | algorithm | algorithm |
| Основополагающий источник≠ | Shapley, L. S., & Scarf, H. (1974). On cores and indivisibility. Journal of Mathematical Economics, 1(1), 23-37. DOI ↗ | Gale, D., & Shapley, L. S. (1962). College admissions and the stability of marriage. The American Mathematical Monthly, 69(1), 9-15. DOI ↗ |
| Другие названия | TTC, Shapley-Scarf Algorithm, Efficient Exchange | Stable Marriage Problem, Deferred Acceptance, Two-Sided Matching |
| Связанные | 4 | 4 |
| Сводка≠ | Top Trading Cycles (TTC) is an algorithm for allocating indivisible goods to agents such that the allocation is Pareto efficient and individually rational. Developed by Lloyd Shapley and Herbert Scarf in 1974, the algorithm identifies cycles of trades in a preference digraph, executes those trades, and iteratively repeats until no further trades are beneficial. TTC is widely used in kidney exchange and housing allocation due to its efficiency and implementation simplicity. | The Gale-Shapley algorithm solves the stable marriage problem: how to match two groups (e.g., medical residents to hospitals, students to schools) such that no pair prefers each other to their assigned partners. Introduced by David Gale and Lloyd Shapley in 1962, the algorithm guarantees a stable matching in polynomial time through a deferred acceptance process where one side proposes sequentially and the other side responds, revising choices as better options arrive. |
| ScholarGateНабор данных ↗ |
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