Search for "Complexity" in article titles:

1. Complexity: The complexity of a physical system or a dynamical process expresses the degree to which components engage in organized structured interactions. High complexity is achieved in systems that exhibit a mixture of order and disorder (randomness and regularity) and that ... [100%] 2021-12-24 [Computational Neuroscience] [Computational Intelligence]...
2. Complexity: This Philosophy resource is a "stub". Learn how you can help Wikiversity to develop it. [100%] 2024-01-03 [Philosophy]
3. Complexity management: Complexity management is a business methodology that deals with the analysis and optimization of complexity in enterprises. Effective complexity management is based on four pillars: alignment with the overall strategy of the company, transparency over all costs and benefits of ... (Social) [70%] 2023-05-30 [Strategic management]
4. Complexity Gaming: CompLexity Gaming (сокращённо — «coL») — профессиональная киберспортивная организация, основанная Джейсоном Лейком в 2003 году и находящаяся в Лос-Анджелесе. Перед созданием complexity Джейсон Лейк несколько месяцев играл в любительской команде по Counter-Strike, однако после совета жены решил создать свой клан. [70%] 2024-01-08
5. Complexity index: In modern computer science and statistics, the complexity index of a function denotes the level of informational content, which in turn affects the difficulty of learning the function from examples. This is different from computational complexity, which is the difficulty ... [70%] 2022-10-17 [Computational complexity theory] [Algorithmic inference]...
6. Complexity function: of a word $w$ The complexity function of a word $w$ (finite, infinite or bi-infinite) over a finite alphabet $A$ is the function $p_w(n)$ that counts the number of distinct factors (substrings of consecutive symbols) of length $n ... (Mathematics) [70%] 2023-12-03
7. Complexity management: Complexity management is a business methodology that deals with the analysis and optimization of complexity in enterprises. Effective complexity management is based on four pillars: alignment with the overall strategy of the company, transparency over all costs and benefits of ... [70%] 2023-12-07 [Strategic management]
8. Complexity function: In computer science, the complexity function of a word or string (a finite or infinite sequence of symbols from some alphabet) is the function that counts the number of distinct factors (substrings of consecutive symbols) of that string. More generally ... [70%] 2022-07-09 [Theoretical computer science]
9. Complexity economics: Complexity economics is the application of complexity science to the problems of economics. It relaxes several common assumptions in economics, including general equilibrium theory. (Finance) [70%] 2023-12-25 [Complex systems theory]
10. Complexity class: In computational complexity theory, a complexity class is a set of computational problems of related resource-based complexity. The two most commonly analyzed resources are time and memory. (Set of problems in computational complexity theory) [70%] 2023-11-24 [Complexity classes] [Computational complexity theory]...
11. Complexity theory: The classification of mathematical problems into decidable and undecidable ones is a most fundamental one. It is also of definite practical significance in discouraging attempts to design too-general systems, such as systems for deciding the equivalence of programs or ... (Mathematics) [70%] 2023-10-12
12. Complexity science: Complexity science and chaos theory are proposed as further explaining the nature of medical knowledge and education. In health services research, although complexity theory has not advanced to the state of being able to mathematically model healthcare delivery, it has ... [70%] 2023-06-17
13. Complexity function: In computer science, the complexity function of a word or string (a finite or infinite sequence of symbols from some alphabet) is the function that counts the number of distinct factors (substrings of consecutive symbols) of that string. More generally ... (Function that counts distinct factors of a string) [70%] 2023-12-17 [Theoretical computer science]
14. Complexity economics: Complexity economics is the application of complexity science to the problems of economics. It relaxes several common assumptions in economics, including general equilibrium theory. (Application of complexity science to economics) [70%] 2023-11-14 [Complexity economics] [Complex systems theory]...
15. Complexity Gaming: Complexity Gaming, formerly stylized as compLexity, is an American esports franchise headquartered in Frisco, Texas. The franchise was founded in 2003 by Jason Lake and was co-owned by real estate investor John Goff, and Dallas Cowboys owner Jerry Jones. (American professional electronic sports organization) [70%] 2024-04-13 [2003 establishments in Georgia (U.S. state)] [Esports teams established in 2003]...
16. Descriptive Complexity: Descriptive Complexity is a book in mathematical logic and computational complexity theory by Neil Immerman. It concerns descriptive complexity theory, an area in which the expressibility of mathematical properties using different types of logic is shown to be equivalent to ... (1999 book by Neil Immerman) [70%] 2024-09-07 [Descriptive complexity] [Mathematics books]...
17. Complexity of algorithms: In computer science, the complexity of an algorithm is a way to classify how efficient an algorithm is, compared to alternative ones. The focus is on how execution time increases with the data set to be processed. [57%] 2024-01-26
18. Computational Complexity Conference: The Computational Complexity Conference (CCC), is an academic conference in the field of theoretical computer science whose roots date to 1986. It fosters research in computational complexity theory, and is typically held annually between mid-May and mid-July in ... [57%] 2022-12-16 [Theoretical computer science conferences]
19. Complexity of algorithms: In computer science, the complexity of an algorithm is a way to classify how efficient an algorithm is, compared to alternative ones. The focus is on how execution time increases with the data set to be processed. [57%] 2023-06-26
20. Computability and Complexity: A mathematical problem is computable if it can be solved in principle by a computing device. Some common synonyms for “computable” are “solvable”, “decidable”, and “recursive”. (Philosophy) [57%] 2022-02-22
21. Computational Complexity Theory: Computational complexity theory is a subfield of theoretical computer science one of whose primary goals is to classify and compare the practical difficulty of solving problems about finite combinatorial objects – e.g. given two natural numbers \(n\) and \(m\), are ... (Philosophy) [57%] 2022-02-21
22. Economic Complexity Index: The Economic Complexity Index (ECI) is a holistic measure of the productive capabilities of large economic systems, usually cities, regions, or countries. In particular, the ECI looks to explain the knowledge accumulated in a population and that is expressed in ... (Finance) [57%] 2024-04-20 [Economic indicators]
23. Complexity and Real Computation: Complexity and Real Computation is a book on the computational complexity theory of real computation. It studies algorithms whose inputs and outputs are real numbers, using the Blum–Shub–Smale machine as its model of computation. (1998 non-fiction book) [50%] 2023-12-20 [Models of computation] [Computational complexity theory]...
24. Complexity theory in biology: Complexity theory in Biology relates to complex systems biology. This indicates "an approach to biology which is well rooted in complex systems science." "A very rich and promising area for complexity theory in biology is the study of the origin ... [50%] 2023-12-17 [Biology] [Complexity]...
25. Complexity theory in biology: Complexity theory in Biology relates to complex systems biology. This indicates "an approach to biology which is well rooted in complex systems science." "A very rich and promising area for complexity theory in biology is the study of the origin ... [50%] 2024-01-21 [Biology] [Complexity]...
26. Introduction to Complexity Theory: Complexity theory is the study of the resources (especially computation time and memory) required by algorithms. The introduction to complexity theory course will offer a comprehensive course in complexity theory. [50%] 2023-12-13 [Computer Science Courses] [Complexity]...
27. Complexity theory and organizations: Complexity theory and organizations, also called complexity strategy or complex adaptive organizations, is the use of the study of complexity systems in the field of strategic management and organizational studies. It draws from research in the natural sciences that examines ... (Application of complexity theory to strategy) [50%] 2023-11-26 [Systems science] [Business economics]...
28. L2 Syntactic Complexity Analyzer: L2 Syntactical Complexity Analyzer (L2SCA) developed by Xiaofei Lu at the Pennsylvania State University, is a computational tool which produces syntactic complexity indices of written English language texts. Along with Coh-Metrix, the L2SCA is one of the most extensively ... [50%] 2023-12-24 [Computational linguistics] [Applied linguistics]...
29. The Complexity of Songs: "The Complexity of Songs" is a scholarly article by computer scientist Donald Knuth in 1977, as an in-joke about computational complexity theory. The article capitalizes on the tendency of popular songs to devolve from long and content-rich ballads ... (Scientific article) [50%] 2024-01-19 [Computational complexity theory] [Mathematics of music]...
30. Complexity of constraint satisfaction: The complexity of constraint satisfaction is the application of computational complexity theory on constraint satisfaction. It has mainly been studied for discriminating between tractable and intractable classes of constraint satisfaction problems on finite domains. [50%] 2023-06-17 [Constraint programming]
31. PPAD (complexity): In computer science, PPAD ("Polynomial Parity Arguments on Directed graphs") is a complexity class introduced by Christos Papadimitriou in 1994. PPAD is a subclass of TFNP based on functions that can be shown to be total by a parity argument. (Complexity) [70%] 2023-04-26 [Complexity classes]
32. ZPP (complexity): In complexity theory, ZPP (zero-error probabilistic polynomial time) is the complexity class of problems for which a probabilistic Turing machine exists with these properties: In other words, if the algorithm is allowed to flip a truly-random coin while ... (Complexity) [70%] 2023-10-02 [Probabilistic complexity classes]
33. S2P (complexity): In computational complexity theory, SP2 is a complexity class, intermediate between the first and second levels of the polynomial hierarchy. A language L is in \displaystyle{ \mathsf S_2^P }[/math] if there exists a polynomial-time predicate P such that ... (Complexity) [70%] 2023-03-11 [Complexity classes]
34. Compilation complexity: Compilation complexity is the smallest number of bits required to summarize a input to a function, such that the output of the function can be computed correctly. The notion was particulatly studied in voting theory. [70%] 2023-12-22 [Voting theory]
35. Sample complexity: The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target function. More precisely, the sample complexity is the number of training-samples that we need to ... [70%] 2023-12-08 [Machine learning]
36. FL (complexity): In computational complexity theory, the complexity class FL is the set of function problems which can be solved by a deterministic Turing machine in a logarithmic amount of memory space. As in the definition of L, the machine reads its ... (Complexity) [70%] 2023-10-23 [Complexity classes]
37. PR (complexity): PR is the complexity class of all primitive recursive functions—or, equivalently, the set of all formal languages that can be decided in time bounded by such a function. This includes addition, multiplication, exponentiation, tetration, etc. (Complexity) [70%] 2022-10-16 [Complexity classes]
38. BPP (complexity): In computational complexity theory, a branch of computer science, bounded-error probabilistic polynomial time (BPP) is the class of decision problems solvable by a probabilistic Turing machine in polynomial time with an error probability bounded by 1/3 for all ... (Complexity) [70%] 2022-08-29 [Probabilistic complexity classes]
39. Spatial complexity: In mathematics, spatial complexity is defined as the complexity of a spatial entity, whether it is a surface or a solid body, or even a spatial object of dimension two or higher. Whatever the spatial object, the description and assessment ... [70%] 2023-05-30 [Mathematics]
40. BIO-Complexity: BIO-Complexity is an open access journal published by the weirdly named Biologic Institute, a lame front for creation science. The journal "aims to be the leading forum for testing the scientific merit of the claim that intelligent design (ID ... [70%] 2023-05-22 [Pseudoscience] [Propaganda]...
41. Specified complexity: Specified complexity is a creationist argument introduced by William Dembski, used by advocates to promote the pseudoscience of intelligent design. According to Dembski, the concept can formalize a property that singles out patterns that are both specified and complex, where ... (Creationist argument by William Dembski) [70%] 2023-03-24 [Intelligent design] [Creationist objections to evolution]...
42. AC (complexity): In circuit complexity, AC is a complexity class hierarchy. Each class, AC, consists of the languages recognized by Boolean circuits with depth \displaystyle{ O(\log^i n) }[/math] and a polynomial number of unlimited fan-in AND and OR gates. (Complexity) [70%] 2024-01-02 [Circuit complexity] [Complexity classes]...
43. R (complexity): In computational complexity theory, R is the class of decision problems solvable by a Turing machine, which is the set of all recursive languages (also called decidable languages). R is equivalent to the set of all total computable functions in ... (Complexity) [70%] 2023-09-26 [Complexity classes]
44. PL (complexity): PL, or probabilistic L, is the class of languages recognizable by a polynomial time logarithmic space randomized machine with probability > ​⁄2 (this is called unbounded error). Equivalently, as shown below, PL is the class of languages recognized by unbounded time ... (Complexity) [70%] 2023-07-29 [Probabilistic complexity classes]
45. PPA (complexity): In computational complexity theory, PPA is a complexity class, standing for "Polynomial Parity Argument" (on a graph). Introduced by Christos Papadimitriou in 1994 (page 528), PPA is a subclass of TFNP. (Complexity) [70%] 2023-11-28 [Complexity classes]
46. Compilation complexity: Compilation complexity is the smallest number of bits required to summarize a input to a function, such that the output of the function can be computed correctly. The notion was particularly studied in voting theory. [70%] 2024-01-26 [Voting theory]
47. Sample complexity: The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target function. More precisely, the sample complexity is the number of training-samples that we need to ... [70%] 2024-01-26 [Machine learning]
48. Irreducible complexity: Irreducible complexity is a concept popularized by noted pseudoscientist Michael Behe in his 1996 book Darwin's Black Box to support intelligent design. Intelligent design pushers argue that while some systems and organs can be explained by evolution, those that ... [70%] 2024-01-26 [Pseudoscience] [Creationist claims]...
49. Organized complexity: Organized complexity is, simply put, things that look designed. (They don't have to be designed.) This is a subjective term without any clear definitions or measures (since things look different to different people, and people have different ideas of ... [70%] 2024-01-26 [Creationism] [EvoWiki ports]...
50. PR (complexity): PR is the complexity class of all primitive recursive functions—or, equivalently, the set of all formal languages that can be decided in time bounded by such a function. This includes addition, multiplication, exponentiation, tetration, etc. (Complexity) [70%] 2024-01-21 [Complexity classes]
51. Cognitive complexity: Cognitive complexity describes cognition along a simplicity-complexity axis. It is the subject of academic study in fields including personal construct psychology, organisational theory and human–computer interaction. [70%] 2023-11-17 [Cognitive psychology] [Human–computer interaction]...
52. TC (complexity): In theoretical computer science, and specifically computational complexity theory and circuit complexity, TC is a complexity class of decision problems that can be recognized by threshold circuits, which are Boolean circuits with AND, OR, and Majority gates. For each fixed ... (Complexity) [70%] 2023-11-28 [Circuit complexity] [Complexity classes]...
53. SC (complexity): In computational complexity theory, SC (Steve's Class, named after Stephen Cook) is the complexity class of problems solvable by a deterministic Turing machine in polynomial time (class P) and polylogarithmic space (class PolyL) (that is, O((log n)) space ... (Complexity) [70%] 2024-01-21 [Complexity classes]
54. Programming complexity: Many measures of software complexity have been proposed. Many of these, although yielding a good representation of complexity, do not lend themselves to easy measurement. [70%] 2023-02-10 [Software metrics] [Complex systems theory]...
55. SNP (complexity): In computational complexity theory, SNP (from Strict NP) is a complexity class containing a limited subset of NP based on its logical characterization in terms of graph-theoretical properties. It forms the basis for the definition of the class MaxSNP ... (Complexity) [70%] 2024-01-11 [Complexity classes]
56. Computational complexity: In computer science, the 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 measured by the number of needed elementary operations) and memory storage ... (Amount of resources to perform an algorithm) [70%] 2024-01-12 [Analysis of algorithms] [Computational complexity theory]...