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 :
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