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  2. Subset sum problem - Wikipedia

    en.wikipedia.org/wiki/Subset_sum_problem

    Let A be the sum of the negative values and B the sum of the positive values; the number of different possible sums is at most B-A, so the total runtime is in (()). For example, if all input values are positive and bounded by some constant C , then B is at most N C , so the time required is O ( N 2 C ) {\displaystyle O(N^{2}C)} .

  3. Multiple subset sum - Wikipedia

    en.wikipedia.org/wiki/Multiple_subset_sum

    The multiple subset sum problem is an optimization problem in computer science and operations research. It is a generalization of the subset sum problem . The input to the problem is a multiset S {\displaystyle S} of n integers and a positive integer m representing the number of subsets.

  4. Partition problem - Wikipedia

    en.wikipedia.org/wiki/Partition_problem

    In the subset sum problem, the goal is to find a subset of S whose sum is a certain target number T given as input (the partition problem is the special case in which T is half the sum of S). In multiway number partitioning, there is an integer parameter k, and the goal is to decide whether S can be partitioned into k subsets of equal sum (the ...

  5. Fully polynomial-time approximation scheme - Wikipedia

    en.wikipedia.org/wiki/Fully_polynomial-time...

    Count-subset-sum (#SubsetSum) - finding the number of distinct subsets with a sum of at most C. [25] Restricted shortest path: finding a minimum-cost path between two nodes in a graph, subject to a delay constraint. [26] Shortest paths and non-linear objectives. [27] Counting edge-covers. [28] Vector subset search problem where the dimension is ...

  6. Knapsack problem - Wikipedia

    en.wikipedia.org/wiki/Knapsack_problem

    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. [2]

  7. Maximum subarray problem - Wikipedia

    en.wikipedia.org/wiki/Maximum_subarray_problem

    If the array contains all non-negative numbers, then the problem is trivial; a maximum subarray is the entire array. If the array contains all non-positive numbers, then a solution is any subarray of size 1 containing the maximal value of the array (or the empty subarray, if it is permitted).

  8. Talk:Subset sum problem - Wikipedia

    en.wikipedia.org/wiki/Talk:Subset_sum_problem

    The solution for subset sum also provides the solution for the original subset sum problem in the case where the numbers are small (again, for nonnegative numbers). If any sum of the numbers can be specified with at most P bits, then solving the problem approximately with c=2 -P is equivalent to solving it exactly.

  9. Set function - Wikipedia

    en.wikipedia.org/wiki/Set_function

    The Lebesgue measure on is a set function that assigns a non-negative real number to every set of real numbers that belongs to the Lebesgue -algebra. [ 5 ] Its definition begins with the set Intervals ⁡ ( R ) {\displaystyle \operatorname {Intervals} (\mathbb {R} )} of all intervals of real numbers, which is a semialgebra on R . {\displaystyle ...