bibtype M - Monography Chapter
ARLID 0421364
utime 20240103203459.1
mtime 20150120235959.9
DOI 10.1007/978-1-4614-0769-0_26
title (primary) (eng) PENNON: Software for Linear and Nonlinear Matrix Inequalities
specification
page_count 40 s.
media_type P
book_pages 957
serial
ARLID cav_un_epca*0421363
ISBN 978-1-4614-0769-0
title Handbook on Semidefinite, Conic and Polynomial Optimization
part_title International Series in Operations Research & Management Science
page_num 755-791
publisher
place New York
name Springer
year 2012
editor
name1 Anjos
name2 M.
editor
name1 Laserre
name2 J.
keyword semidefinite programming
keyword optimization software
author (primary)
ARLID cav_un_auth*0101131
name1 Kočvara
name2 Michal
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
institution UTIA-B
full_dept Department of Decision Making Theory
share 50
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0021060
name1 Stingl
name2 M.
country DE
share 50
source
url http://library.utia.cas.cz/separaty/2012/MTR/kocvara-0421364.pdf
cas_special
project
project_id IAA100750802
agency GA AV ČR
ARLID cav_un_auth*0241214
research CEZ:AV0Z10750506
abstract (eng) The goal of this paper is to present an overview of the software collection for the solution of linear and nonlinear semidefinite optimization problems PENNON. In the first part we present theoretical and practical details of the underlying algorithm and several implementation issues. In the second part we introduce the particular codes PENSDP, PENBMI and PENNON, focus on some specific features of these codes and show how they can be used for the solution of selected problems.
reportyear 2015
RIV BA
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0242969
cooperation
ARLID cav_un_auth*0297782
name University of Erlangen
country DE
confidential S
arlyear 2012
mrcbU63 cav_un_epca*0421363 Handbook on Semidefinite, Conic and Polynomial Optimization 978-1-4614-0769-0 755 791 New York Springer 2012 International Series in Operations Research & Management Science
mrcbU67 Anjos M. 340
mrcbU67 Laserre J. 340