Changes

== Overview ==

== Overview ==

The well known entity in the theory of information, seemingly founded by [[Claude Shannon]], is the [[information entropy]] defined as

The well known entity in the theory of information, seemingly founded by [[Claude Shannon]], is the information entropy defined as

<math> H = -\sum_i p(i) \log_2 p(i) </math>

<math> H = -\sum_i p(i) \log_2 p(i) </math>

* Brooks, D. R. & Wiley, E. O. Evolution as Entropy, Towards a unified theory of Biology. The University of Chicago Press, 1986.

* Brooks, D. R. & Wiley, E. O. Evolution as Entropy, Towards a unified theory of Biology. The University of Chicago Press, 1986.

* Kjellström, G. Network Optimization by Random Variation of component values. Ericsson Technics, vol. 25, no. 3, pp. 133-151, 1969.  

* Kjellström, G. Network Optimization by Random Variation of component values. Ericsson Technics, vol. 25, no. 3, pp.&nbsp;133–151, 1969.  

* Kjellström, G. On the Efficiency of Gaussian Adaptation. Journal of Optimization Theory and Applications, vol. 71, no. 3, Dec. 1991.

* Kjellström, G. On the Efficiency of Gaussian Adaptation. Journal of Optimization Theory and Applications, vol. 71, no. 3, Dec. 1991.

* Shannon, C.E. A Mathematical Theory of Communication, Bell Syst. Techn. J., Vol. 27, pp 379-423, (Part I), 1948.  

* Shannon, C.E. A Mathematical Theory of Communication, Bell Syst. Techn. J., Vol. 27, pp 379–423, (Part I), 1948.  

* Åslund, N. The fundamental theorems of information theory (Swedish). Nordisk Matematisk Tidskrift, Band 9, Oslo 1961.

* Åslund, N. The fundamental theorems of information theory (Swedish). Nordisk Matematisk Tidskrift, Band 9, Oslo 1961.

[[Category:Mathematics]]

[[Category:Mathematics]]

[[Category:Theories]]

[[Category:Theories]]