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  2. Kahan summation algorithm - Wikipedia

    en.wikipedia.org/wiki/Kahan_summation_algorithm

    A portable way to inhibit such optimizations locally is to break one of the lines in the original formulation into two statements, and make two of the intermediate products volatile: function KahanSum(input) var sum = 0.0 var c = 0.0 for i = 1 to input.length do var y = input[i] - c volatile var t = sum + y volatile var z = t - sum c = z - y ...

  3. Pseudocode - Wikipedia

    en.wikipedia.org/wiki/Pseudocode

    Pseudocode is commonly used in textbooks and scientific publications related to computer science and numerical computation to describe algorithms in a way that is accessible to programmers regardless of their familiarity with specific programming languages.

  4. Subset sum problem - Wikipedia

    en.wikipedia.org/wiki/Subset_sum_problem

    The most naïve algorithm would be to cycle through all subsets of n numbers and, for every one of them, check if the subset sums to the right number. The running time is of order O ( 2 n ⋅ n ) {\displaystyle O(2^{n}\cdot n)} , since there are 2 n {\displaystyle 2^{n}} subsets and, to check each subset, we need to sum at most n elements.

  5. Addition - Wikipedia

    en.wikipedia.org/wiki/Addition

    Commutative property: Mentioned above, using the pattern a + b = b + a reduces the number of "addition facts" from 100 to 55. One or two more: Adding 1 or 2 is a basic task, and it can be accomplished through counting on or, ultimately, intuition. [36] Zero: Since zero is the additive identity, adding zero is trivial.

  6. Linked list - Wikipedia

    en.wikipedia.org/wiki/Linked_list

    This section gives pseudocode for adding or removing nodes from singly, doubly, and circularly linked lists in-place. Throughout, null is used to refer to an end-of-list marker or sentinel , which may be implemented in a number of ways.

  7. Multiplication algorithm - Wikipedia

    en.wikipedia.org/wiki/Multiplication_algorithm

    In arbitrary-precision arithmetic, it is common to use long multiplication with the base set to 2 w, where w is the number of bits in a word, for multiplying relatively small numbers. To multiply two numbers with n digits using this method, one needs about n 2 operations.

  8. Swap (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Swap_(computer_programming)

    In addition, swapping two variables in object-oriented languages such as C++ may involve one call to the class constructor and destructor for the temporary variable, and three calls to the copy constructor. Some classes may allocate memory in the constructor and deallocate it in the destructor, thus creating expensive calls to the system.

  9. Karatsuba algorithm - Wikipedia

    en.wikipedia.org/wiki/Karatsuba_algorithm

    The standard procedure for multiplication of two n-digit numbers requires a number of elementary operations proportional to , or () in big-O notation. Andrey Kolmogorov conjectured that the traditional algorithm was asymptotically optimal , meaning that any algorithm for that task would require Ω ( n 2 ) {\displaystyle \Omega (n^{2 ...