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  2. Hash join - Wikipedia

    en.wikipedia.org/wiki/Hash_join

    The hash join is an example of a join algorithm and is used in the implementation of a relational database management system.All variants of hash join algorithms involve building hash tables from the tuples of one or both of the joined relations, and subsequently probing those tables so that only tuples with the same hash code need to be compared for equality in equijoins.

  3. Worst-case optimal join algorithm - Wikipedia

    en.wikipedia.org/wiki/Worst-case_optimal_join...

    A worst-case optimal join algorithm is an algorithm for computing relational joins with a runtime that is bounded by the worst-case output size of the join. Traditional binary join algorithms such as hash join operate over two relations at a time; joins between more than two relations are implemented by repeatedly applying binary joins.

  4. Join and meet - Wikipedia

    en.wikipedia.org/wiki/Join_and_meet

    Join and meet are dual to one another with respect to order inversion. A partially ordered set in which all pairs have a join is a join-semilattice. Dually, a partially ordered set in which all pairs have a meet is a meet-semilattice. A partially ordered set that is both a join-semilattice and a meet-semilattice is a lattice.

  5. Non-homologous end joining - Wikipedia

    en.wikipedia.org/wiki/Non-homologous_end_joining

    In yeast, the Mre11-Rad50-Xrs2 complex is recruited to DSBs early and is thought to promote bridging of the DNA ends. [16]The corresponding mammalian complex of Mre11-Rad50-Nbs1 is also involved in NHEJ, but it may function at multiple steps in the pathway beyond simply holding the ends in proximity. [17]

  6. Nested loop join - Wikipedia

    en.wikipedia.org/wiki/Nested_loop_join

    algorithm nested_loop_join is for each tuple r in R do for each tuple s in S do if r and s satisfy the join condition then yield tuple <r,s> This algorithm will involve n r *b s + b r block transfers and n r +b r seeks, where b r and b s are number of blocks in relations R and S respectively, and n r is the number of tuples in relation R.

  7. Joint probability distribution - Wikipedia

    en.wikipedia.org/wiki/Joint_probability_distribution

    In probability theory, the joint probability distribution is the probability distribution of all possible pairs of outputs of two random variables that are defined on the same probability space.

  8. Join-pattern - Wikipedia

    en.wikipedia.org/wiki/Join-pattern

    Join-patterns provides a way to write concurrent, parallel and distributed computer programs by message passing.Compared to the use of threads and locks, this is a high level programming model using communication constructs model to abstract the complexity of concurrent environment and to allow scalability.

  9. Join - Wikipedia

    en.wikipedia.org/wiki/Join

    Join (relational algebra), a binary operation on tuples corresponding to the relation join of SQL Join (SQL), relational join, a binary operation on SQL and relational database tables; join (Unix), a Unix command similar to relational join; Join-calculus, a process calculus developed at INRIA for the design of distributed programming languages