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  2. k shortest path routing - Wikipedia

    en.wikipedia.org/wiki/K_shortest_path_routing

    The k shortest path routing problem is a generalization of the shortest path routing problem in a given network. It asks not only about a shortest path but also about next k−1 shortest paths (which may be longer than the shortest path). A variation of the problem is the loopless k shortest paths.

  3. Longest path problem - Wikipedia

    en.wikipedia.org/wiki/Longest_path_problem

    Therefore, the longest path problem is NP-hard. The question "does there exist a simple path in a given graph with at least k edges" is NP-complete. [2] In weighted complete graphs with non-negative edge weights, the weighted longest path problem is the same as the Travelling salesman path problem, because the longest path always includes all ...

  4. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    Problem 2. Find the path of minimum total length between two given nodes P and Q. We use the fact that, if R is a node on the minimal path from P to Q, knowledge of the latter implies the knowledge of the minimal path from P to R. is a paraphrasing of Bellman's Principle of Optimality in the context of the shortest path problem.

  5. Loop unrolling - Wikipedia

    en.wikipedia.org/wiki/Loop_unrolling

    Reduced Code Readability: If loop unrolling is done manually instead of by an optimizing compiler, the code can become harder to understand and maintain. Conflict with Function Inlining: When the loop body contains function calls, unrolling may prevent inlining due to excessive code expansion, leading to a trade-off between these two optimizations.

  6. Integer overflow - Wikipedia

    en.wikipedia.org/wiki/Integer_overflow

    An example is explicit optimization of a code path which is considered a bottleneck by the profiler. In the case of Common Lisp, this is possible by using an explicit declaration to type-annotate a variable to a machine-size word (fixnum) [15] and lower the type safety level to zero [16] for a particular code block. [17] [18] [19] [20]

  7. Branch and bound - Wikipedia

    en.wikipedia.org/wiki/Branch_and_bound

    Branch and bound (BB, B&B, or BnB) is a method for solving optimization problems by breaking them down into smaller sub-problems and using a bounding function to eliminate sub-problems that cannot contain the optimal solution. It is an algorithm design paradigm for discrete and combinatorial optimization problems, as well as mathematical ...

  8. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    [24]: 3 The skip number 1 at node 0 corresponds to the position 1 in the binary encoded ASCII where the leftmost bit differed in the key set . [ 24 ] : 3-4 The skip number is crucial for search, insertion, and deletion of nodes in the Patricia tree, and a bit masking operation is performed during every iteration.

  9. Euclidean algorithm - Wikipedia

    en.wikipedia.org/wiki/Euclidean_algorithm

    On the right Nicomachus's example with numbers 49 and 21 resulting in their GCD of 7 (derived from Heath 1908:300). In mathematics , the Euclidean algorithm , [ note 1 ] or Euclid's algorithm , is an efficient method for computing the greatest common divisor (GCD) of two integers , the largest number that divides them both without a remainder .