DocumentCode
2518331
Title
Intrinsic methods for optimization problems
Author
Topsoe, Flemming
Author_Institution
Dept. of Math. Sci., Univ. of Copenhagen, Copenhagen
fYear
2008
fDate
6-11 July 2008
Firstpage
1627
Lastpage
1630
Abstract
General optimization techniques typically depend on analytical tools involving differentiation. However, for many problems, special intrinsic tools lead in a more natural way to insight. For information theory, instances of this phenomenon includes problems on the determination of capacity, the search for universal codes or maximum entropy distributions and the calculation of information projections. Problems from other areas may also be treated by the intrinsic methods here presented.
Keywords
differentiation; information theory; maximum entropy methods; optimisation; capacity determination; differentiation; information theory; intrinsic methods; maximum entropy distributions; optimization problems; universal codes; Algebra; Calculus; Constraint optimization; Entropy; Geometry; Information theory; Lagrangian functions; Optimization methods; Probability distribution; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-2256-2
Electronic_ISBN
978-1-4244-2257-9
Type
conf
DOI
10.1109/ISIT.2008.4595263
Filename
4595263
Link To Document