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One common property of all sequential containers is that the elements can be accessed sequentially. Like all other standard library components, they reside in namespace std. The following containers are defined in the current revision of the C++ standard: array, vector, list, forward_list, deque.
Sequential access is a term describing a group of elements (such as data in a memory array or a disk file or on magnetic-tape data storage) being accessed in a predetermined, ordered sequence. It is the opposite of random access , the ability to access an arbitrary element of a sequence as easily and efficiently as any other at any time.
The Muenster Skeleton Library Muesli [51] [52] is a C++ template library which re-implements many of the ideas and concepts introduced in Skil, e.g. higher order functions, currying, and polymorphic types . It is built on top of MPI 1.2 and OpenMP 2.5 and supports, unlike many other skeleton libraries, both task and data parallel skeletons.
The general class includes variations such as the B+ tree, the B * tree and the B *+ tree. In the B+ tree, the internal nodes do not store any pointers to records, thus all pointers to records are stored in the leaf nodes. In addition, a leaf node may include a pointer to the next leaf node to speed up sequential access. [2]
Double-linked lists require more space per node (unless one uses XOR-linking), and their elementary operations are more expensive; but they are often easier to manipulate because they allow fast and easy sequential access to the list in both directions. In a doubly linked list, one can insert or delete a node in a constant number of operations ...
As with their sequential counterpart, concurrent hash tables can be generalized and extended to fit broader applications, such as allowing more complex data types to be used for keys and values. These generalizations can however negatively impact performance and should thus be chosen in accordance to the requirements of the application.
Concurrent data structures are significantly more difficult to design and to verify as being correct than their sequential counterparts. The primary source of this additional difficulty is concurrency, exacerbated by the fact that threads must be thought of as being completely asynchronous: they are subject to operating system preemption, page faults, interrupts, and so on.
In IBM mainframe operating systems, Queued Sequential Access Method (QSAM) [1] is an access method to read and write datasets sequentially. QSAM is available on OS/360 , OS/VS2 , MVS , z/OS , and related operating systems.