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The National Resident Matching Program (NRMP), also called The Match, [1] is a United States–based private non-profit non-governmental organization created in 1952 to place U.S. medical school students into residency training programs located in United States teaching hospitals. Its mission has since expanded to include the placement of U.S ...
The assignment problem is a special case of the transportation problem, which is a special case of the minimum cost flow problem, which in turn is a special case of a linear program. While it is possible to solve any of these problems using the simplex algorithm, or in worst-case polynomial time using the ellipsoid method, each specialization ...
There is no universally agreed-upon definition of malicious compliance. Among those ventured, a principle characteristic includes establishing 'malice' as a behavior "always meant in some way to damage, humiliate or threaten the established power structure, regardless of what level that may be".
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.
The employer matching program is any potential additional payment to an employee's 401(k) plan. Since the start of the credit crisis and the 2008 recession, companies are either stopping matching programs or making the match available to employees based on whether or not the company makes money. [citation needed]
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Abuse case [1] is a specification model for security requirements used in the software development industry. The term Abuse Case is an adaptation of use case . The term was introduced by John McDermott and Chris Fox in 1999, while working at Computer Science Department of the James Madison University. [ 1 ]
In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.