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and applications Forecasting complexity Effective complexity Kolmogorov complexity, a measure of algorithmic complexity Self-dissimilarity Information...

Effective complexity is a measure of complexity defined in a 1996 paper by Murray Gell-Mann and Seth Lloyd that attempts to measure the amount of non-random...

as output. It is a measure of the computational resources needed to specify the object, and is also known as algorithmic complexity, Solomonoff–Kolmogorov–Chaitin...

system and has been used as a measure of complexity in many diverse fields. In information processing, complexity is a measure of the total number of properties...

Complexity management is a business methodology that deals with the analysis and optimization of complexity in enterprises. Effective complexity management...

is also used to measure cohesion within clusters in the field of data mining. One advantage of cosine similarity is its low complexity, especially for...

concepts may be needed when approaching complexity: entropy, size, description length, effective complexity, information, connectivity, irreducibility...

remarkably complex organisms – although the actual level of complexity is very hard to define or measure accurately in biology, with properties such as gene content...

Logical depth is a measure of complexity for individual strings devised by Charles H. Bennett based on the computational complexity of an algorithm that...

debatable exactly how to measure lines of code, discrepancies of an order of magnitude can be clear indicators of software complexity or man-hours. There are...

Benefits from measuring Project Complexity are to improve project people feasibility by matching the level of a project's complexity with an effective targeted...

Burt Nanus, to describe or to reflect on the volatility, uncertainty, complexity and ambiguity of general conditions and situations. The U.S. Army War...

theory and formal languages, computability theory, and computational complexity theory, which are linked by the question: "What are the fundamental capabilities...

Lutz; Elvira Mayordomo (2007). "Effective strong dimension in algorithmic information and computational complexity". SIAM Journal on Computing. 37 (3):...

increased complexity to disrupt the sense of a regular beat, leading eventually to the widespread use of irrational rhythms in New Complexity. This use...

complexity to that of solution complexity. Thus a simple (low complexity) solution to a problem of high complexity is seen as elegant. This measure does...

In computability theory and computational complexity theory, a decision problem is a computational problem that can be posed as a yes–no question of the...

though the fuzzy front end is difficult to measure, it must be included in TTM measurements for effective TTM management. Next, definitions of the end...

Managing Complexity with Creativity. Routledge. pp. 84–85. ISBN 978-1-135-24705-8. Retrieved 2013-07-14. Poister, Theodore H. (2008). Measuring Performance...

the interval [0,1] of real numbers, the measure on Cantor space agrees with Lebesgue measure. An effective measure 0 set can be interpreted as a Turing machine...