Entropy Optimization Principles with Applications
This senior-level textbook on entropy provides a conceptual framework for the study of probabilistic systems with its elucidation of three key concepts - Shannon's information theory, Jaynes' maximum entropy principle and Kullback's minimum cross-entropy principle.
- Paperback | 384 pages
- 170.18 x 243.84 x 27.94mm | 771.1g
- 01 May 1992
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
- references, bibliography, index
Table of contents
Entropy optimization principles; Jaynes' maximum entropy principle; applications of Jaynes' maximum entropy principle; Kullback's minimum cross-entropy principle; further applications of MaxEnt and MinEnt; new entropy optimization principles; generalized principles of maximum entropy; the four inverse maximum entropy principles.