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incompressibility

incompressibility

9.9
Data that no computer program can make shorter
  • noun
  • /ˌɪnkəmˌprɛsəˈbɪlɪti/
  • Specialized
translation icon : incompresibilidad
  • Researchers relied on the incompressibility of the random string to prove a lower bound.

Examples

  • The lecture explained Kolmogorov incompressibility and why true randomness resists algorithmic compression.

  • Because of its incompressibility, the data set could not be reduced by common compression tools.

  • The incompressibility of certain data sets is crucial in compression algorithms.

  • In information theory, incompressibility indicates the limits of data compression.

  • The concept of incompressibility is key to understanding how some data sets maintain their size despite attempts to compress them.

  • In discussions of randomness, incompressibility illustrates how certain sequences cannot be shortened by any algorithm.

  • The principle of incompressibility demonstrates that not all data can be effectively compressed without losing information.

Synonyms

irreducibility
vsincompressibility
  • Specialized
1 9.7

The state of not being able to be made simpler

is about sequences that cannot be made shorter by any effective algorithm

How Compressible

compressibility
  • Specialized
1 7.4
incompressibility
  • Specialized
9.9

Surface Forms

Morphology

incompressibility = incompressible (semi-transparent) = in + compress + ible + ity

Formally derived by nominalizing 'incompressible' with -ity, which is a regular morphological step.

Etymology

Incompressibility comes from in- meaning 'not' and compress meaning 'press together', the same root as the word press. In computing the idea is the same: an 'incompressible' file or data set cannot be 'pressed' or made shorter by any computer program.