Information theory | Measures of complexity | Computational complexity theory

Logical depth

Logical depth is a measure of complexity for individual strings devised by Charles H. Bennett based on the computational complexity of an algorithm that can recreate a given piece of information. It differs from Kolmogorov complexity in that it considers the computation time of the algorithm with nearly minimal length, rather than the length of the minimal algorithm. Formally, in the context of some universal computer the logical depth of a string to significance level is given by the running time of the fastest program that produces and is no more than longer than the minimal program. (Wikipedia).

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From playlist Calculus

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From playlist Solve Absolute Value Equations

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From playlist Problem Solving

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From playlist Logic & Philosophy of Mathematics

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From playlist Evaluate Limits of Absolute Value

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From playlist Calculus Chapter 2: Limits (Complete chapter)

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From playlist Journée Gretchen & Barry Mazur

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From playlist Mathematics

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From playlist IIT Madras: Introduction to Indian Philosophy | CosmoLearning.org Philosophy

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From playlist Edureka Live Classes 2020

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From playlist Numerical Analysis and Scientific Computing

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http://mathispower4u.wordpress.com/

From playlist Limits

Related pages

Complexity | Effective complexity | Forecasting complexity | Sophistication (complexity theory) | Kolmogorov complexity | Self-dissimilarity | Analysis of algorithms | String (computer science)