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  2. Partitioning cryptanalysis - Wikipedia

    en.wikipedia.org/wiki/Partitioning_cryptanalysis

    In cryptography, partitioning cryptanalysis is a form of cryptanalysis for block ciphers. Developed by Carlo Harpes in 1995, the attack is a generalization of linear cryptanalysis . Harpes originally replaced the bit sums ( affine transformations ) of linear cryptanalysis with more general balanced Boolean functions .

  3. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    Snowflake schema used by example query. The example schema shown to the right is a snowflaked version of the star schema example provided in the star schema article. The following example query is the snowflake schema equivalent of the star schema example code which returns the total number of television units sold by brand and by country for 1997.

  4. MurmurHash - Wikipedia

    en.wikipedia.org/wiki/MurmurHash

    MurmurHash is a non-cryptographic hash function suitable for general hash-based lookup. [1] [2] [3] It was created by Austin Appleby in 2008 [4] and, as of 8 January 2016, [5] is hosted on GitHub along with its test suite named SMHasher.

  5. Shard (database architecture) - Wikipedia

    en.wikipedia.org/wiki/Shard_(database_architecture)

    Horizontal partitioning splits one or more tables by row, usually within a single instance of a schema and a database server. It may offer an advantage by reducing index size (and thus search effort) provided that there is some obvious, robust, implicit way to identify in which partition a particular row will be found, without first needing to search the index, e.g., the classic example of the ...

  6. Fiduccia–Mattheyses algorithm - Wikipedia

    en.wikipedia.org/wiki/Fiduccia–Mattheyses...

    FM algorithm is a linear time heuristic for improving network partitions. New features to K-L heuristic: . Aims at reducing net-cut costs; the concept of cutsize is extended to hypergraphs.

  7. Kernighan–Lin algorithm - Wikipedia

    en.wikipedia.org/wiki/Kernighan–Lin_algorithm

    The input to the algorithm is an undirected graph G = (V, E) with vertex set V, edge set E, and (optionally) numerical weights on the edges in E.The goal of the algorithm is to partition V into two disjoint subsets A and B of equal (or nearly equal) size, in a way that minimizes the sum T of the weights of the subset of edges that cross from A to B.

  8. 9 high-protein fruits to help build muscle, lose weight - AOL

    www.aol.com/9-high-protein-fruits-help-040443790...

    For example, getting 2 grams of protein from blackberries is a nice addition to the other protein on your plate, but eating 5 cups of blackberries to get 10 grams of protein is “probably ...

  9. Partition refinement - Wikipedia

    en.wikipedia.org/wiki/Partition_refinement

    Partition refinement was applied by Sethi (1976) in an efficient implementation of the Coffman–Graham algorithm for parallel scheduling. Sethi showed that it could be used to construct a lexicographically ordered topological sort of a given directed acyclic graph in linear time; this lexicographic topological ordering is one of the key steps ...