bibtype J - Journal Article
ARLID 0540823
utime 20240103225554.0
mtime 20210308235959.9
SCOPUS 85103502175
WOS 000631641400018
DOI 10.24193/subbmath.2021.1.17
title (primary) (eng) An optimization problem for continuous submodular functions
specification
page_count 12 s.
media_type P
serial
ARLID cav_un_epca*0540822
ISSN 0252-1938
title Studia Universitatis Babes-Bolyai Mathematica
volume_id 66
volume 1 (2021)
page_num 211-222
keyword continuous submodular optimization
keyword entropy method
keyword secret sharing
author (primary)
ARLID cav_un_auth*0398469
name1 Csirmaz
name2 Laszlo
institution UTIA-B
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
country HU
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2021/MTR/csirmaz-0540823.pdf
source
url http://www.cs.ubbcluj.ro/~studia-m/index.php/journal/article/view/1152
cas_special
project
project_id GA19-04579S
agency GA ČR
country CZ
ARLID cav_un_auth*0380558
abstract (eng) Real continuous submodular functions, as a generalization of the corresponding discrete notion to the continuous domain, gained considerable attention recently. The analog notion for entropy functions requires additional properties: a real multivariate function defined on the non-negative orthant of dimension n is entropy-like (EL) if it is submodular, takes zero at zero, non-decreasing, and has the Diminishing Returns property. Motivated by problems concerning the Shannon complexity of multipartite secret sharing, a special case of the following general optimization problem is considered: find the minimal cost of those EL functions which satisfy certain constraints. In our special case the cost of an EL function is the maximal value of the n partial derivatives at zero. Another possibility could be the supremum of the function range. The constraints are specified by a smooth bounded surface S cutting off a downward closed subset. An EL function is feasible if at the internal points of S the left and right partial derivatives of the function differ by at least one. A general lower bound for the minimal cost is given in terms of the\nnormals of the surface S. The bound is tight when S is linear. In the two-dimensional case the same bound is tight for convex or concave S. It is shown that the optimal EL function is not necessarily unique. The paper concludes with several open problems.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10100
FORD2 10101
reportyear 2022
num_of_auth 1
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0319274
confidential S
mrcbC86 3+4 Article Mathematics
mrcbC91 C
mrcbT16-s 0.194
mrcbT16-E Q4
arlyear 2021
mrcbU14 85103502175 SCOPUS
mrcbU24 PUBMED
mrcbU34 000631641400018 WOS
mrcbU63 cav_un_epca*0540822 Studia Universitatis Babes-Bolyai Mathematica 0252-1938 2065-961X Roč. 66 č. 1 2021 211 222