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  2. Loop unrolling - Wikipedia

    en.wikipedia.org/wiki/Loop_unrolling

    Loop unrolling, also known as loop unwinding, is a loop transformation technique that attempts to optimize a program's execution speed at the expense of its binary size, which is an approach known as space–time tradeoff.

  3. Zero-suppressed decision diagram - Wikipedia

    en.wikipedia.org/wiki/Zero-suppressed_decision...

    So, for example, the LO branch between 13 and 12 indicates that if the path does not include the arc from 1 to 3, the next thing to ask is if it includes the arc from 1 to 2. The absence of a LO branch leaving node 12 indicates that any path that does not go from 1 to 3 must therefore go from 1 to 2.

  4. Branch and bound - Wikipedia

    en.wikipedia.org/wiki/Branch_and_bound

    B will denote the best solution found so far, and will be used as an upper bound on candidate solutions. Initialize a queue to hold a partial solution with none of the variables of the problem assigned. Loop until the queue is empty: Take a node N off the queue. If N represents a single candidate solution x and f(x) < B, then x is the best ...

  5. Binary Golay code - Wikipedia

    en.wikipedia.org/wiki/Binary_Golay_code

    Two octads intersect (have 1's in common) in 0, 2, or 4 coordinates in the binary vector representation (these are the possible intersection sizes in the subset representation). An octad and a dodecad intersect at 2, 4, or 6 coordinates. Up to relabeling coordinates, W is unique. The binary Golay code, G 23 is a perfect code. That is, the ...

  6. Knapsack problem - Wikipedia

    en.wikipedia.org/wiki/Knapsack_problem

    [1] The subset sum problem is a special case of the decision and 0-1 problems where each kind of item, the weight equals the value: =. In the field of cryptography, the term knapsack problem is often used to refer specifically to the subset sum problem. The subset sum problem is one of Karp's 21 NP-complete problems.

  7. Greedy algorithm - Wikipedia

    en.wikipedia.org/wiki/Greedy_algorithm

    Assume there exists an optimal solution different from the greedy solution; Identify the first point where the optimal and greedy solutions differ; Prove that exchanging the optimal choice for the greedy choice at this point cannot worsen the solution; Conclude by induction that there must exist an optimal solution identical to the greedy solution

  8. Bitwise operation - Wikipedia

    en.wikipedia.org/wiki/Bitwise_operation

    For example: 0101 (decimal 5) AND 0011 (decimal 3) = 0001 (decimal 1) The operation may be used to determine whether a particular bit is set (1) or cleared (0). For example, given a bit pattern 0011 (decimal 3), to determine whether the second bit is set we use a bitwise AND with a bit pattern containing 1 only in the second bit: 0011 (decimal ...

  9. Euclidean algorithm - Wikipedia

    en.wikipedia.org/wiki/Euclidean_algorithm

    To find the latter, consider two solutions, (x 1, y 1) and (x 2, y 2), where ax 1 + by 1 = c = ax 2 + by 2. or equivalently a(x 1 − x 2) = b(y 2 − y 1). Therefore, the smallest difference between two x solutions is b/g, whereas the smallest difference between two y solutions is a/g. Thus, the solutions may be expressed as x = x 1 − bu/g y ...