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  2. Best-fit bin packing - Wikipedia

    en.wikipedia.org/wiki/Best-fit_bin_packing

    Best-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. 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.

  4. First-fit bin packing - Wikipedia

    en.wikipedia.org/wiki/First-fit_bin_packing

    First-fit (FF) is an online 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.

  5. Bin packing problem - Wikipedia

    en.wikipedia.org/wiki/Bin_packing_problem

    The algorithm can be made much more effective by first sorting the list of items into decreasing order (sometimes known as the first-fit decreasing algorithm), although this still does not guarantee an optimal solution and for longer lists may increase the running time of the algorithm. It is known, however, that there always exists at least ...

  6. Next-fit bin packing - Wikipedia

    en.wikipedia.org/wiki/Next-fit_bin_packing

    Next-k-Fit is a variant of Next-Fit, but instead of keeping only one bin open, the algorithm keeps the last bins open and chooses the first bin in which the item fits. For k ≥ 2 {\displaystyle k\geq 2} , NkF delivers results that are improved compared to the results of NF, however, increasing k {\displaystyle k} to constant values larger than ...

  7. Buddy memory allocation - Wikipedia

    en.wikipedia.org/wiki/Buddy_memory_allocation

    The buddy memory allocation technique is a memory allocation algorithm that divides memory into partitions to try to satisfy a memory request as suitably as possible. This system makes use of splitting memory into halves to try to give a best fit.

  8. Fragmentation (computing) - Wikipedia

    en.wikipedia.org/wiki/Fragmentation_(computing)

    The "worst fit" algorithm chooses the largest hole. The "first-fit algorithm" chooses the first hole that is big enough. The "next fit" algorithm keeps track of where each file was written. The "next fit" algorithm is faster than "first fit," which is in turn faster than "best fit," which is the same speed as "worst fit". [5]

  9. Tracing garbage collection - Wikipedia

    en.wikipedia.org/wiki/Tracing_garbage_collection

    Manual memory management (as in C++) and reference counting have a similar issue of arbitrarily long pauses in case of deallocating a large data structure and all its children, though these only occur at fixed times, not depending on garbage collection. Manual heap allocation. search for best/first-fit block of sufficient size; free list ...