Results 11 to 20 of about 15,696,706 (339)
Entropy: From Thermodynamics to Information Processing
Entropy is a concept that emerged in the 19th century. It used to be associated with heat harnessed by a thermal machine to perform work during the Industrial Revolution.
Jordão Natal +4 more
doaj +2 more sources
Advances in Information Entropy
Bin Wang, Naixue Xiong, Fengming Xin
doaj +2 more sources
Some Upper Bounds for Relative Entropy and Applications [PDF]
In this paper we derive some upper bounds for the relative entropy D(p || q) of two probability distribution and apply them to mutual information and entropy mapping.
Sunde, J +2 more
core +6 more sources
Information Entropy in Cosmology [PDF]
LateX, PRLstyle, 4 pages; to appear in ...
Hosoya, Akio +2 more
openaire +3 more sources
New Inequalities for Convex Functions with Applications for the N-Entropy of a Discrete Random Variable [PDF]
New inequalities for convex mappings of a real variable and applications in Information Theory for Shannon's entropy are ...
Dragomir, Sever S
core +6 more sources
Modelling Informational Entropy [PDF]
To appear in proceedings of WoLLIC 2019, Remark 1 ...
Willem Conradie +3 more
openaire +3 more sources
Entropy Region and Network Information Theory [PDF]
This dissertation takes a step toward a general framework for solving network information theory problems by studying the capacity region of networks through the entropy region.
Sormeh Shadbakht, Shadbakht, Sormeh
core +1 more source
Information Entropy of Liquid Metals [PDF]
Correlations reduce the configurational entropies of liquids below their ideal gas limits. By means of first principles molecular dynamics simulations, we obtain accurate pair correlation functions of liquid metals, then subtract the mutual information content of these correlations from the ideal gas entropies to predict the absolute entropies over a ...
M. C. Gao, M. Widom
openaire +3 more sources
On integrating size and shape distributions into a spatio-temporal information entropy framework [PDF]
Understanding the structuration of spatio-temporal information is a common endeavour to many disciplines and application domains, e.g., geography, ecology, urban planning, epidemiology.
Christophe Claramunt +5 more
core +1 more source
The Landauer cost for erasing information demands that information about a physical system be included in the total entropy, as proposed by Zurek [Nature 341, 119 (1989); Phys. Rev. A 40, 4731 (1989)]. A consequence is that most system states-either classical phase-space distributions or quantum pure states-have total entropy much larger than thermal ...
openaire +6 more sources

