conditional entropy - Definition. Was ist conditional entropy
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Was (wer) ist conditional entropy - definition

MEASURE OF RELATIVE INFORMATION IN PROBABILITY THEORY AND INFORMATION THEORY
Equivocation (information theory); Conditional information

Conditional quantum entropy         
MEASURE OF RELATIVE INFORMATION IN QUANTUM INFORMATION THEORY
Quantum conditional entropy
The conditional quantum entropy is an entropy measure used in quantum information theory. It is a generalization of the conditional entropy of classical information theory.
Entropy         
  • [[Rudolf Clausius]] (1822–1888), originator of the concept of entropy
  • steady-state]] continuous operation, an entropy balance applied to an open system accounts for system entropy changes related to heat flow and mass flow across the system boundary.
  • A [[temperature–entropy diagram]] for steam. The vertical axis represents uniform temperature, and the horizontal axis represents specific entropy. Each dark line on the graph represents constant pressure, and these form a mesh with light gray lines of constant volume. (Dark-blue is liquid water, light-blue is liquid-steam mixture, and faint-blue is steam. Grey-blue represents supercritical liquid water.)
  • Slow motion video of a glass cup smashing on a concrete floor. In the very short time period of the breaking process, the entropy of the mass making up the glass cup rises sharply, as the matter and energy of the glass disperse.
PHYSICAL PROPERTY OF THE STATE OF A SYSTEM, MEASURE OF DISORDER
Entropic; Entropy (thermodynamics); Entropically favorable; Disorder (thermodynamics); Disorder(thermodynamics); Etropy; Entropy change; Enthropy; Entropy (general concept); Molar entropy; Entropies; Entropical; Entropically; Entropie; Entrophy; Specific entropy; Antropy; Delta s; Entropy and Expansion of Universe; Interdisciplinary applications of entropy; Entropy (statistical mechanics); Entropy (mechanics); Entropymetry; Entropically disfavoured
·noun A certain property of a body, expressed as a measurable quantity, such that when there is no communication of heat the quantity remains constant, but when heat enters or leaves the body the quantity increases or diminishes. If a small amount, h, of heat enters the body when its temperature is t in the thermodynamic scale the entropy of the body is increased by h/t. The entropy is regarded as measured from some standard temperature and pressure. Sometimes called the thermodynamic function.
entropy         
  • [[Rudolf Clausius]] (1822–1888), originator of the concept of entropy
  • steady-state]] continuous operation, an entropy balance applied to an open system accounts for system entropy changes related to heat flow and mass flow across the system boundary.
  • A [[temperature–entropy diagram]] for steam. The vertical axis represents uniform temperature, and the horizontal axis represents specific entropy. Each dark line on the graph represents constant pressure, and these form a mesh with light gray lines of constant volume. (Dark-blue is liquid water, light-blue is liquid-steam mixture, and faint-blue is steam. Grey-blue represents supercritical liquid water.)
  • Slow motion video of a glass cup smashing on a concrete floor. In the very short time period of the breaking process, the entropy of the mass making up the glass cup rises sharply, as the matter and energy of the glass disperse.
PHYSICAL PROPERTY OF THE STATE OF A SYSTEM, MEASURE OF DISORDER
Entropic; Entropy (thermodynamics); Entropically favorable; Disorder (thermodynamics); Disorder(thermodynamics); Etropy; Entropy change; Enthropy; Entropy (general concept); Molar entropy; Entropies; Entropical; Entropically; Entropie; Entrophy; Specific entropy; Antropy; Delta s; Entropy and Expansion of Universe; Interdisciplinary applications of entropy; Entropy (statistical mechanics); Entropy (mechanics); Entropymetry; Entropically disfavoured
Entropy is a state of disorder, confusion, and disorganization. (TECHNICAL)
N-UNCOUNT

Wikipedia

Conditional entropy

In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable Y {\displaystyle Y} given that the value of another random variable X {\displaystyle X} is known. Here, information is measured in shannons, nats, or hartleys. The entropy of Y {\displaystyle Y} conditioned on X {\displaystyle X} is written as H ( Y | X ) {\displaystyle \mathrm {H} (Y|X)} .