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  2. Lossless join decomposition - Wikipedia

    en.wikipedia.org/wiki/Lossless_join_decomposition

    In database design, a lossless join decomposition is a decomposition of a relation into relations , such that a natural join of the two smaller relations yields back the original relation. This is central in removing redundancy safely from databases while preserving the original data. [ 1 ]

  3. Shannon coding - Wikipedia

    en.wikipedia.org/wiki/Shannon_coding

    In the field of data compression, Shannon coding, named after its creator, Claude Shannon, is a lossless data compression technique for constructing a prefix code based on a set of symbols and their probabilities (estimated or measured).

  4. Golomb coding - Wikipedia

    en.wikipedia.org/wiki/Golomb_coding

    Golomb coding is a lossless data compression method using a family of data compression codes invented by Solomon W. Golomb in the 1960s. Alphabets following a geometric distribution will have a Golomb code as an optimal prefix code, [1] making Golomb coding highly suitable for situations in which the occurrence of small values in the input stream is significantly more likely than large values.

  5. Chase (algorithm) - Wikipedia

    en.wikipedia.org/wiki/Chase_(algorithm)

    The chase is a simple fixed-point algorithm testing and enforcing implication of data dependencies in database systems.It plays important roles in database theory as well as in practice.

  6. Weissman score - Wikipedia

    en.wikipedia.org/wiki/Weissman_score

    The Weissman score is a performance metric for lossless compression applications. It was developed by Tsachy Weissman, a professor at Stanford University, and Vinith Misra, a graduate student, at the request of producers for HBO's television series Silicon Valley, a television show about a fictional tech start-up working on a data compression algorithm.

  7. Lempel–Ziv–Markov chain algorithm - Wikipedia

    en.wikipedia.org/wiki/Lempel–Ziv–Markov_chain...

    Initialization of the range decoder consists of setting range to 2 32 − 1, and code to the 32-bit value starting at the second byte in the stream interpreted as big-endian; the first byte in the stream is completely ignored. Normalization proceeds in this way: Shift both range and code left by 8 bits; Read a byte from the compressed stream

  8. Multi-time-step integration - Wikipedia

    en.wikipedia.org/wiki/Multi-time-step_integration

    There are different approaches to multi-time-step integration. They are based on domain decomposition and can be classified into strong (monolithic) or weak (staggered) schemes. [ 1 ] [ 2 ] [ 3 ] Using different time-steps or time-integrators in the context of a weak algorithm is rather straightforward, because the numerical solvers operate ...

  9. Application Integration Architecture - Wikipedia

    en.wikipedia.org/wiki/Application_Integration...

    In computing, Application Integration Architecture (AIA) is an integration framework produced by Oracle Corporation. Standards-based, AIA has pre-built common object definitions and services. Oracle AIA is built on Oracle Fusion Middleware's SOA and Business Process-Management (BPM) products.