science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm. Time complexity is commonly...

time. Warren Weaver posited in 1948 two forms of complexity: disorganized complexity, and organized complexity. Phenomena of 'disorganized complexity'...

complexity". The two most commonly analyzed resources are time and memory. In general, a complexity class is defined in terms of a type of computational problem...

by Bernard A. Galler and Michael J. Fischer in 1964. In 1973, their time complexity was bounded to O ( log ∗ ⁡ ( n ) ) {\displaystyle O(\log ^{*}(n))}...

computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus is given to computation time (generally...

their computational complexity, i.e., the amount of resources needed to solve them, such as time and storage. Other measures of complexity are also used, such...

In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class. It contains all decision problems that can...

In theoretical computer science, circuit complexity is a branch of computational complexity theory in which Boolean functions are classified according...

"Computational Complexity Blog: Complexity Class of the Week: Factoring". Goldreich, Oded; Wigderson, Avi (2008), "IV.20 Computational Complexity", in Gowers...

the input influencing space complexity. Analogously to time complexity classes DTIME(f(n)) and NTIME(f(n)), the complexity classes DSPACE(f(n)) and NSPACE(f(n))...

theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of a shortest computer...

performance; this is done in introselect. Finer computations of the average time complexity yield a worst case of n ( 2 + 2 log ⁡ 2 + o ( 1 ) ) ≤ 3.4 n + o ( n...

algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other resources needed to execute them....

respectively. Usually the resource being considered is running time, i.e. time complexity, but could also be memory or some other resource. Best case is...

With respect to computational resources, asymptotic time complexity and asymptotic space complexity of computational algorithms and programs are commonly...

In computational complexity theory, the exponential time hypothesis or ETH is an unproven computational hardness assumption that was formulated by Impagliazzo...

to find the minimum spanning forest. In terms of their asymptotic time complexity, these three algorithms are equally fast for sparse graphs, but slower...

depth-first search, which does not produce intermediate results. The time complexity of IDDFS in a (well-balanced) tree works out to be the same as breadth-first...

other sources claim the time complexity is "essentially linear in the number of links in the graph," meaning the time complexity would instead be O ( m...

finding the convex hull of a finite set of points in the plane with time complexity O(n log n). It is named after Ronald Graham, who published the original...

complexity, the most widely used such measure. In computational complexity theory, although it would be a non-formal usage of the term, the time/space...

incorrect state or is corrupted by an intruder. Moreover, because of their complexity, it is very hard to debug and to analyze distributed systems. Hence, it...

sorting problem has attracted a great deal of research, perhaps due to the complexity of solving it efficiently despite its simple, familiar statement. Among...

Unsolved problem in computer science What is the Turing run-time complexity of the square-root sum problem? More unsolved problems in computer science...

required computational resources in a given context (e.g., higher time complexity, greater memory requirement, expensive need for extra hardware processor...

number by every digit in the second and adding the results. This has a time complexity of O ( n 2 ) {\displaystyle O(n^{2})} , where n is the number of digits...

{\displaystyle \Omega (n^{2})\,\!} conjecture and other problems in the complexity of computation. Within a week, Karatsuba, then a 23-year-old student,...

Logarithmic-space Polynomial-time), is the complexity class of computational complexity theory problems solvable in logarithmic space and polynomial time with probabilistic...

problems in computer science In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems...

+1)^{2}>(k+1)\Delta } . If Δ is chosen to be √n, the space complexity of the algorithm is O(√n), while the time complexity is the same as that of the regular sieve. For...