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  2. Bounds checking - Wikipedia

    en.wikipedia.org/wiki/Bounds_checking

    In computer programming, bounds checking is any method of detecting whether a variable is within some bounds before it is used. It is usually used to ensure that a number fits into a given type (range checking), or that a variable being used as an array index is within the bounds of the array (index checking).

  3. Bounds-checking elimination - Wikipedia

    en.wikipedia.org/wiki/Bounds-checking_elimination

    Bounds-checking elimination could eliminate the second check if the compiler or runtime can determine that neither the array size nor the index could change between the two array operations. Another example occurs when a programmer loops over the elements of the array, and the loop condition guarantees that the index is within the bounds of the ...

  4. Iterative deepening depth-first search - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_depth...

    function Build-Path(s, μ, B) is π ← Find-Shortest-Path(s, μ) (Recursively compute the path to the relay node) remove the last node from π return π B (Append the backward search stack) function Depth-Limited-Search-Forward(u, Δ, F) is if Δ = 0 then F ← F {u} (Mark the node) return foreach child of u do Depth-Limited-Search-Forward ...

  5. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    a depth-first search starting at the node A, assuming that the left edges in the shown graph are chosen before right edges, and assuming the search remembers previously visited nodes and will not repeat them (since this is a small graph), will visit the nodes in the following order: A, B, D, F, E, C, G.

  6. Iterative deepening A* - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_A*

    It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the remaining cost to get to the goal from the A* search algorithm. Since it is a depth-first search algorithm, its memory usage is lower than in A*, but unlike ordinary iterative deepening search, it ...

  7. Tarjan's strongly connected components algorithm - Wikipedia

    en.wikipedia.org/wiki/Tarjan's_strongly_connected...

    The function strongconnect performs a single depth-first search of the graph, finding all successors from the node v, and reporting all strongly connected components of that subgraph. When each node finishes recursing, if its lowlink is still set to its index, then it is the root node of a strongly connected component, formed by all of the ...

  8. Destructor (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Destructor_(computer...

    In object-oriented programming, a destructor (sometimes abbreviated dtor [1]) is a method which is invoked mechanically just before the memory of the object is released. [2] It can happen when its lifetime is bound to scope and the execution leaves the scope, when it is embedded in another object whose lifetime ends, or when it was allocated dynamically and is released explicitly.

  9. Backtracking - Wikipedia

    en.wikipedia.org/wiki/Backtracking

    In a typical backtracking solution to this problem, one could define a partial candidate as a list of integers c = (c[1], c[2], …, c[k]), for any k between 0 and n, that are to be assigned to the first k variables x[1], x[2], …, x[k]. The root candidate would then be the empty list (). The first and next procedures would then be