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Otherwise, open a new bin and put the new item in it. The algorithms differ in the criterion by which they choose the open bin for the new item in step 1 (see the linked pages for more information): Next Fit (NF) always keeps a single open bin. When the new item does not fit into it, it closes the current bin and opens a new bin.
KDE Partition Manager is a disk partitioning application originally written by Volker Lanz for the KDE Platform. It was first released for KDE SC 4.1 and is released independently of the central KDE release cycle.
In number theory and computer science, the partition problem, or number partitioning, [1] is the task of deciding whether a given multiset S of positive integers can be partitioned into two subsets S 1 and S 2 such that the sum of the numbers in S 1 equals the sum of the numbers in S 2.
Each partition then appears to the operating system as a distinct "logical" disk that uses part of the actual disk. System administrators use a program called a partition editor to create, resize, delete, and manipulate the partitions. [3] Partitioning allows the use of different filesystems to be installed for different kinds of files.
The limit on partition size was dictated by the 8-bit signed count of sectors per cluster, which originally had a maximum power-of-two value of 64. With the standard hard disk sector size of 512 bytes, this gives a maximum of 32 KB cluster size, thereby fixing the "definitive" limit for the FAT16 partition size at 2 GB for sector size 512.
The bin packing problem - a dual problem in which the total sum in each subset is bounded, but k is flexible; the goal is to find a partition with the smallest possible k. The optimization objectives are closely related: the optimal number of d-sized bins is at most k, iff the optimal size of a largest subset in a k-partition is at most d. [9]
There are some general relations between approximations to the balanced partition problem and the standard (unconstrained) partition problem. Babel, Kellerer and Kotov [ 12 ] prove that the ratio between the unconstrained optimum and the constrained optimum is at most 2 − 2 m {\displaystyle 2-{\frac {2}{m}}} , and it is tight.
Memory management (also dynamic memory management, dynamic storage allocation, or dynamic memory allocation) is a form of resource management applied to computer memory.The essential requirement of memory management is to provide ways to dynamically allocate portions of memory to programs at their request, and free it for reuse when no longer needed.