Result: GENERIC NONDEGENERACY IN CONVEX OPTIMIZATION

Title:
GENERIC NONDEGENERACY IN CONVEX OPTIMIZATION
Source:
Proceedings of the American Mathematical Society. 139(7):2519-2527
Publisher Information:
Providence, RI: American Mathematical Society, 2011.
Publication Year:
2011
Physical Description:
print, 10 ref
Original Material:
INIST-CNRS
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
SCHOOL OF OPERATIONS RESEARCH AND INFORMATION ENGINEERING, CORNELL UNIVERSITY, ITHACA, NEW YORK 14853, United States
ISSN:
0002-9939
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics
Accession Number:
edscal.24320732
Database:
PASCAL Archive

Further Information

We show that minimizers of convex functions subject to almost all linear perturbations are nondegenerate. An analogous result holds more generally for lower-C2 functions.