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A monoque is a linear data structure which provides dynamic array semantics. A monoque is similar in structure to a deque but is limited to operations on one end. Hence the name, mono-que. A monoque offers O(1) random access and O(1) push_back/pop_back. Unlike a C++ vector, the push_back/pop_back functions are not amortized and are strictly O(1) in time complexity. Because the block list is never reallocated or resized, it maintains strictly O(1) non-amortized worst case performance. Unlike C++'s deque, the O(1) performance guarantee includes the time complexity of working with the block list, whereas the C++ standard only guarantees the deque to be O(1) in terms of operations on the underlying value type.
The monoque consists of a size variable and a fixed-size block list of blocks with exponentially increasing sizes. Thus, the size of the monoque in bits is roughly proportional to the square of the system pointer size. Though arguably O(lg N) in size, because lg(pointer_size) is constant on any particular machine the block list is O(1) in size and is an upper bound to O(lg(N)), it bounds the space complexity of the structure by a constant.
Category:Data structures
In computing, mem is a measurement unit for the number of memory accesses used or needed by a process, function, instruction set, algorithm or data structure. Mem has applications in computational complexity theory, computing efficiency, combinatorial optimization, supercomputing, computational cost (algorithmic efficiency) and other computational metrics.
Example usage, when discussing processing time of a search tree node, for finding 10 × 10 Latin squares: "A typical node of the search tree probably requires about 75 mems (memory accesses) for processing, to check validity. Therefore the total running time on a modern computer would be roughly the time needed to perform mems." (Donald Knuth, 2011, The Art of Computer Programming, Volume 4A, p. 6).
Reducing mems as a speed and efficiency enhancement is not a linear benefit, as it trades off increases in ordinary operations costs.