Search results
Results from the WOW.Com Content Network
For example, a procedure that adds up all elements of a list requires time proportional to the length of the list, if the adding time is constant, or, at least, bounded by a constant. Linear time is the best possible time complexity in situations where the algorithm has to sequentially read its entire input.
A list may contain the same value more than once, and each occurrence is considered a distinct item. A singly-linked list structure, implementing a list with three integer elements. The term list is also used for several concrete data structures that can be used to implement abstract lists, especially linked lists and arrays.
The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic". [2] Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in ...
A naive implementation of the WHT of order = would have a computational complexity of O(). The FWHT h requires only n log n {\displaystyle n\log n} additions or subtractions. The FWHT h is a divide-and-conquer algorithm that recursively breaks down a WHT of size n {\displaystyle n} into two smaller WHTs of size n / 2 {\displaystyle n/2} .
Timsort sorts the list in time linearithmic (proportional to a quantity times its logarithm) in the list's length (()), but has a space requirement linear in the length of the list (()). If large lists must be sorted at high speed for a given application, timsort is a better choice; however, if minimizing the memory footprint of the sorting ...
MemSQL uses lock-free skip lists as its prime indexing structure for its database technology. MuQSS, for the Linux kernel, is a CPU scheduler built on skip lists. [10] [11] Cyrus IMAP server offers a "skiplist" backend DB implementation [12] Lucene uses skip lists to search delta-encoded posting lists in logarithmic time. [citation needed]
Note that although LLL-reduction is well-defined for =, the polynomial-time complexity is guaranteed only for in (,). The LLL algorithm computes LLL-reduced bases. There is no known efficient algorithm to compute a basis in which the basis vectors are as short as possible for lattices of dimensions greater than 4. [ 4 ]
In computational complexity theory, although it would be a non-formal usage of the term, the time/space complexity of a particular problem in terms of all algorithms that solve it with computational resources (i.e., time or space) bounded by a function of the input's size.