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HTTP Parameter Pollution (HPP) is a web application vulnerability exploited by injecting encoded query string delimiters in already existing parameters.The vulnerability occurs if user input is not correctly encoded for output by a web application. [1]
The Boyer–Moore algorithm searches for occurrences of P in T by performing explicit character comparisons at different alignments. Instead of a brute-force search of all alignments (of which there are n − m + 1 {\displaystyle n-m+1} ), Boyer–Moore uses information gained by preprocessing P to skip as many alignments as possible.
Class RealLine: LateX name changed from \RR to \Bold{R} Internal changes: Systematic use of Python3-compatible syntax (to prepare the migration of SageMath to Python3); in particular: All occurrences of iteritems() changed to items() All occurrences of itervalues() changed to values() Classes ScalarField and TensorField: method __nonzero__ ...
Run-length encoding (RLE) is a form of lossless data compression in which runs of data (consecutive occurrences of the same data value) are stored as a single occurrence of that data value and a count of its consecutive occurrences, rather than as the original run. As an imaginary example of the concept, when encoding an image built up from ...
[1] pp.142--143 Since the same variable symbol may appear in multiple places in an expression, some occurrences of the variable symbol may be free while others are bound, [1] p.78 hence "free" and "bound" are at first defined for occurrences and then generalized over all occurrences of said variable symbol in the expression. However it is done ...
A specialized kind of trie called a compressed trie, is used in web search engines for storing the indexes - a collection of all searchable words. [31] Each terminal node is associated with a list of URLs —called occurrence list—to pages that match the keyword.
If x ≠ m and c > 0, then remove one of the c copies of m from the left-over set and pair it with the final value (and decrement c). If c = 0, then set m ← x and add x to the (previously empty) set of copies of m (and set c to 1). In all cases, the loop invariant is maintained. [1]
In information theory, an entropy coding (or entropy encoding) is any lossless data compression method that attempts to approach the lower bound declared by Shannon's source coding theorem, which states that any lossless data compression method must have an expected code length greater than or equal to the entropy of the source.