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  2. Branch predictor - Wikipedia

    en.wikipedia.org/wiki/Branch_predictor

    Without branch prediction, the processor would have to wait until the conditional jump instruction has passed the execute stage before the next instruction can enter the fetch stage in the pipeline. The branch predictor attempts to avoid this waste of time by trying to guess whether the conditional jump is most likely to be taken or not taken.

  3. Exception handling (programming) - Wikipedia

    en.wikipedia.org/wiki/Exception_handling...

    It follows that asynchronous exception handling can't be optimized out by the compiler, as it cannot prove the absence of asynchronous exceptions. They are also difficult to program with correctly, as asynchronous exceptions must be blocked during cleanup operations to avoid resource leaks.

  4. Lazy deletion - Wikipedia

    en.wikipedia.org/wiki/Lazy_deletion

    The problem with this scheme is that as the number of delete/insert operations increases, the cost of a successful search increases. To improve this, when an element is searched and found in the table, the element is relocated to the first location marked for deletion that was probed during the search.

  5. Branch (computer science) - Wikipedia

    en.wikipedia.org/wiki/Branch_(computer_science)

    [a] Branch (or branching, branched) may also refer to the act of switching execution to a different instruction sequence as a result of executing a branch instruction. Branch instructions are used to implement control flow in program loops and conditionals (i.e., executing a particular sequence of instructions only if certain conditions are ...

  6. Branch and bound - Wikipedia

    en.wikipedia.org/wiki/Branch_and_bound

    The algorithm explores branches of this tree, which represent subsets of the solution set. Before enumerating the candidate solutions of a branch, the branch is checked against upper and lower estimated bounds on the optimal solution, and is discarded if it cannot produce a better solution than the best one found so far by the algorithm.

  7. Reverse-delete algorithm - Wikipedia

    en.wikipedia.org/wiki/Reverse-delete_algorithm

    The next largest edge is edge BD so the algorithm will check this edge and delete the edge. The next edge to check is edge EG, which will not be deleted since it would disconnect node G from the graph. Therefore, the next edge to delete is edge BC. The next largest edge is edge EF so the algorithm will check this edge and delete the edge.

  8. Decision tree pruning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_pruning

    In contrast to the bottom-up method, this method starts at the root of the tree. Following the structure below, a relevance check is carried out which decides whether a node is relevant for the classification of all n items or not. By pruning the tree at an inner node, it can happen that an entire sub-tree (regardless of its relevance) is dropped.

  9. Double-checked locking - Wikipedia

    en.wikipedia.org/wiki/Double-checked_locking

    In software engineering, double-checked locking (also known as "double-checked locking optimization" [1]) is a software design pattern used to reduce the overhead of acquiring a lock by testing the locking criterion (the "lock hint") before acquiring the lock. Locking occurs only if the locking criterion check indicates that locking is required.