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A stable matching always exists, and the algorithmic problem solved by the Gale–Shapley algorithm is to find one. [3] The stable matching problem has also been called the stable marriage problem, using a metaphor of marriage between men and women, and many sources describe the Gale–Shapley algorithm in terms of marriage proposals. However ...
The most common case is the case in which the graph admits a one-sided-perfect matching (i.e., a matching of size r), and s=r. Unbalanced assignment can be reduced to a balanced assignment. The naive reduction is to add n − r {\displaystyle n-r} new vertices to the smaller part and connect them to the larger part using edges of cost 0.
The rural hospitals theorem concerns a more general variant of the stable matching problem, like that applying in the problem of matching doctors to positions at hospitals, differing in the following ways from the basic n-to-n form of the stable marriage problem:
CaseComplete is a requirements management application from Serlio Software that allows business analysts and software developers to create and manage Use Cases and Software Requirements.
To determine which version, if any, of an element should be visible, ClearCase traverses the configuration specification line-by-line from top to bottom, stopping when a match is found and ignoring any subsequent rules. A configuration specification can also reference other configuration specifications by means of an 'include' statement.
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Nut-picking (suppressed evidence, incomplete evidence) – using individual cases or data that falsify a particular position, while ignoring related cases or data that may support that position. Survivorship bias – a small number of successes of a given process are actively promoted while completely ignoring a large number of failures.
In law, ignorantia juris non excusat (Latin for "ignorance of the law excuses not"), [1] or ignorantia legis neminem excusat ("ignorance of law excuses no one"), [2] is a legal principle holding that a person who is unaware of a law may not escape liability for violating that law merely by being unaware of its content.