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The Burrows–Wheeler transform (BWT, also called block-sorting compression) rearranges a character string into runs of similar characters. This is useful for compression, since it tends to be easy to compress a string that has runs of repeated characters by techniques such as move-to-front transform and run-length encoding.
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The closeness of a match is measured in terms of the number of primitive operations necessary to convert the string into an exact match. This number is called the edit distance between the string and the pattern. The usual primitive operations are: [1] insertion: cot → coat; deletion: coat → cot
Various algorithms exist that solve problems beside the computation of distance between a pair of strings, to solve related types of problems. Hirschberg's algorithm computes the optimal alignment of two strings, where optimality is defined as minimizing edit distance. Approximate string matching can be formulated in terms of edit distance.
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Mixed-integer linear programming (MILP) involves problems in which only some of the variables, , are constrained to be integers, while other variables are allowed to be non-integers. Zero–one linear programming (or binary integer programming ) involves problems in which the variables are restricted to be either 0 or 1.
The order of operations, that is, the order in which the operations in an expression are usually performed, results from a convention adopted throughout mathematics, science, technology and many computer programming languages.
Mrs. Miniver's problem-- MSU Faculty of Mechanics and Mathematics-- MTD-f-- Mu Alpha Theta-- MU puzzle-- Muckenhoupt weights-- Mueller calculus-- Muhammad ibn Musa al-Khwarizmi-- Muirhead's inequality-- Muisca numerals-- Mukhopadhyaya theorem-- Muller–Schupp theorem-- Muller's method-- Multi-adjoint logic programming-- Multi-armed bandit ...