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  2. Backjumping - Wikipedia

    en.wikipedia.org/wiki/Backjumping

    When further backtracking or backjumping from the node, the variable of the node is removed from this set, and the set is sent to the node that is the destination of backtracking or backjumping. This algorithm works because the set maintained in a node collects all variables that are relevant to prove unsatisfiability in the leaves that are ...

  3. Look-ahead (backtracking) - Wikipedia

    en.wikipedia.org/wiki/Look-ahead_(backtracking)

    In backtracking algorithms, look ahead is the generic term for a subprocedure that attempts to foresee the effects of choosing a branching variable to evaluate one of its values. The two main aims of look-ahead are to choose a variable to evaluate next and to choose the order of values to assign to it.

  4. Backtracking line search - Wikipedia

    en.wikipedia.org/wiki/Backtracking_line_search

    An argument against the use of Backtracking line search, in particular in Large scale optimisation, is that satisfying Armijo's condition is expensive. There is a way (so-called Two-way Backtracking) to go around, with good theoretical guarantees and has been tested with good results on deep neural networks, see Truong & Nguyen (2020). (There ...

  5. Suite for Flute and Jazz Piano Trio - Wikipedia

    en.wikipedia.org/wiki/Suite_for_Flute_and_Jazz...

    A video recording of Bolling and Rampal playing the Suite was recorded in 1976 at the Palace of Versailles in France, and was released on LaserVision video disc and on videotape. Eventually, under the title, Suite for Flute and Jazz Piano Trio , digital CD and DVD versions of the respective audio and video recordings were also released.

  6. Backtracking - Wikipedia

    en.wikipedia.org/wiki/Backtracking

    Backtracking is a class of algorithms for finding solutions to some computational problems, notably constraint satisfaction problems, that incrementally builds candidates to the solutions, and abandons a candidate ("backtracks") as soon as it determines that the candidate cannot possibly be completed to a valid solution.

  7. Recursive descent parser - Wikipedia

    en.wikipedia.org/wiki/Recursive_descent_parser

    A predictive parser is a recursive descent parser that does not require backtracking. [3] Predictive parsing is possible only for the class of LL( k ) grammars, which are the context-free grammars for which there exists some positive integer k that allows a recursive descent parser to decide which production to use by examining only the next k ...

  8. DPLL algorithm - Wikipedia

    en.wikipedia.org/wiki/DPLL_algorithm

    The basic backtracking algorithm runs by choosing a literal, assigning a truth value to it, simplifying the formula and then recursively checking if the simplified formula is satisfiable; if this is the case, the original formula is satisfiable; otherwise, the same recursive check is done assuming the opposite truth value.

  9. Largest differencing method - Wikipedia

    en.wikipedia.org/wiki/Largest_differencing_method

    Using backtracking, compute the partition. PDM has average properties worse than LDM. For two-way partitioning, when inputs are uniformly-distributed random variables, the expected difference between largest and smallest sum is Θ ( 1 / n ) {\displaystyle \Theta (1/n)} .