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  2. Next-fit bin packing - Wikipedia

    en.wikipedia.org/wiki/Next-fit_bin_packing

    Next-fit is an online algorithm for bin packing. Its input is a list of items of different sizes. Its output is a packing - a partition of the items into bins of fixed capacity, such that the sum of sizes of items in each bin is at most the capacity. Ideally, we would like to use as few bins as possible, but minimizing the number of bins is an ...

  3. Next-fit-decreasing bin packing - Wikipedia

    en.wikipedia.org/.../Next-fit-decreasing_bin_packing

    Next-fit-decreasing (NFD) is an algorithm for bin packing. Its input is a list of items of different sizes. Its output is a packing - a partition of the items into bins of fixed capacity, such that the sum of sizes of items in each bin is at most the capacity. Ideally, we would like to use as few bins as possible, but minimizing the number of ...

  4. Bin packing problem - Wikipedia

    en.wikipedia.org/wiki/Bin_packing_problem

    Their algorithms use classic algorithms for bin-packing, like next-fit and first-fit decreasing, as a basis for their algorithms. Bertazzi, Golden and Wang [ 40 ] introduced a variant of BP-SIF with 1 − x {\displaystyle 1-x} split rule: an item is allowed to be split in only one way according to its size.

  5. Packing problems - Wikipedia

    en.wikipedia.org/wiki/Packing_problems

    Each packing problem has a dual covering problem, which asks how many of the same objects are required to completely cover every region of the container, where objects are allowed to overlap. In a bin packing problem, people are given: A container, usually a two- or three-dimensional convex region, possibly of infinite size. Multiple containers ...

  6. High-multiplicity bin packing - Wikipedia

    en.wikipedia.org/wiki/High-multiplicity_bin_packing

    Allocate the small items greedily, e.g. with next-fit bin packing. If no new bins are created, then we are done. If new bins are created, this means that all bins (except maybe the last one) are full up to at least (1-e)B. Therefore, the number of bins is at most OPT/(1-e)+1 ≤ (1+2e)OPT+1. The algorithms differ in how they round the instance.

  7. Category:Bin packing - Wikipedia

    en.wikipedia.org/wiki/Category:Bin_packing

    Multifit algorithm; N. Next-fit bin packing; Next-fit-decreasing bin packing This page was last edited on 4 October 2021, at 22:20 (UTC). ...

  8. One Knock. Two Men. One Bullet. - The Huffington Post

    projects.huffingtonpost.com/bryan-yeshion...

    Bryan cried for help. It was the middle of the day on Friday, June 10, 2005. His third-floor apartment was on W. Diamond Street in Philadelphia, in a red brick building next door to his fraternity. Two friends were in the room with him. In an instant, Bryan and the man with the gun started to struggle, falling to the hardwood floor.

  9. First-fit-decreasing bin packing - Wikipedia

    en.wikipedia.org/wiki/First-fit-decreasing_bin...

    First-fit-decreasing (FFD) is an algorithm for bin packing. Its input is a list of items of different sizes. Its input is a list of items of different sizes. Its output is a packing - a partition of the items into bins of fixed capacity, such that the sum of sizes of items in each bin is at most the capacity.