I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
An Approximation Algorithm for Maximizing Product Modularit:
, In:
2020 6th International Conference on Control, Automation and Robotics (ICCAR)
,
Liu, Fang
;
Du, Shaofeng
;
Hong, Zhenjun
... - p. 513-518 , 2020
Link:
https://doi.org/10.1109/ICCAR49639.2020.9108033
RT T1 <cTitle>2020 6th International Conference on Control, Automation and Robotics (ICCAR)</cTitle>: T1 <Title>An Approximation Algorithm for Maximizing Product Modularity</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9108033&Exemplar=1&LAN=DE A1 Liu, Fang A1 Du, Shaofeng A1 Hong, Zhenjun A1 Wu, Yanzhao A1 Wang, Feng A1 Yin, Yong A1 Li, Dongni YR 2020 K1 product modularity K1 approximation algorithm K1 semidefinite programming K1 product design SP 513 OP 518 LK http://dx.doi.org/https://doi.org/10.1109/ICCAR49639.2020.9108033 DO https://doi.org/10.1109/ICCAR49639.2020.9108033 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
