Inverse max+sum spanning tree problem under weighted l∞ norm by modifying max-weight vector

The max+sum spanning tree ( MSST ) problem is to determine a spanning tree T whose combined weight max e ∈ T w ( e ) + ∑ e ∈ T c ( e ) is minimum for a given edge-weighted undirected network G ( V ,  E ,  c ,  w ). This problem can be solved within O ( m log n ) time, where m and n are the numbers o...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Journal of global optimization Ročník 84; číslo 3; s. 715 - 738
Hlavní autoři: Jia, Junhua, Guan, Xiucui, Zhang, Qiao, Qian, Xinqiang, Pardalos, Panos M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.11.2022
Springer Nature B.V
Témata:
ISSN:0925-5001, 1573-2916
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract The max+sum spanning tree ( MSST ) problem is to determine a spanning tree T whose combined weight max e ∈ T w ( e ) + ∑ e ∈ T c ( e ) is minimum for a given edge-weighted undirected network G ( V ,  E ,  c ,  w ). This problem can be solved within O ( m log n ) time, where m and n are the numbers of edges and nodes, respectively. An inverse MSST problem ( IMSST ) aims to determine a new weight vector w ¯ so that a given T 0 becomes an optimal MSST of the new network G ( V , E , c , w ¯ ) . The IMSST problem under weighted l ∞ norm is to minimize the modification cost max e ∈ E q ( e ) | w ¯ ( e ) - w ( e ) | , where q ( e ) is a cost modifying the weight w ( e ). We first provide some optimality conditions of the problem. Then we propose a strongly polynomial time algorithm in O ( m 2 log n ) time based on a binary search and a greedy method. There are O ( m ) iterations and we solve an MSST problem under a new weight in each iteration. Finally, we perform some numerical experiments to show the efficiency of the algorithm.
AbstractList The max+sum spanning tree ( MSST ) problem is to determine a spanning tree T whose combined weight max e ∈ T w ( e ) + ∑ e ∈ T c ( e ) is minimum for a given edge-weighted undirected network G ( V ,  E ,  c ,  w ). This problem can be solved within O ( m log n ) time, where m and n are the numbers of edges and nodes, respectively. An inverse MSST problem ( IMSST ) aims to determine a new weight vector w ¯ so that a given T 0 becomes an optimal MSST of the new network G ( V , E , c , w ¯ ) . The IMSST problem under weighted l ∞ norm is to minimize the modification cost max e ∈ E q ( e ) | w ¯ ( e ) - w ( e ) | , where q ( e ) is a cost modifying the weight w ( e ). We first provide some optimality conditions of the problem. Then we propose a strongly polynomial time algorithm in O ( m 2 log n ) time based on a binary search and a greedy method. There are O ( m ) iterations and we solve an MSST problem under a new weight in each iteration. Finally, we perform some numerical experiments to show the efficiency of the algorithm.
The max+sum spanning tree (MSST) problem is to determine a spanning tree T whose combined weight maxe∈Tw(e)+∑e∈Tc(e) is minimum for a given edge-weighted undirected network G(V, E, c, w). This problem can be solved within O(mlogn) time, where m and n are the numbers of edges and nodes, respectively. An inverse MSST problem (IMSST) aims to determine a new weight vector w¯ so that a given T0 becomes an optimal MSST of the new network G(V,E,c,w¯). The IMSST problem under weighted l∞ norm is to minimize the modification cost maxe∈Eq(e)|w¯(e)-w(e)|, where q(e) is a cost modifying the weight w(e). We first provide some optimality conditions of the problem. Then we propose a strongly polynomial time algorithm in O(m2logn) time based on a binary search and a greedy method. There are O(m) iterations and we solve an MSST problem under a new weight in each iteration. Finally, we perform some numerical experiments to show the efficiency of the algorithm.
Author Jia, Junhua
Guan, Xiucui
Pardalos, Panos M.
Zhang, Qiao
Qian, Xinqiang
Author_xml – sequence: 1
  givenname: Junhua
  surname: Jia
  fullname: Jia, Junhua
  organization: School of Mathematics, Southeast University
– sequence: 2
  givenname: Xiucui
  orcidid: 0000-0002-2653-1868
  surname: Guan
  fullname: Guan, Xiucui
  email: xcguan@163.com
  organization: School of Mathematics, Southeast University
– sequence: 3
  givenname: Qiao
  surname: Zhang
  fullname: Zhang, Qiao
  organization: School of Mathematics, Southeast University
– sequence: 4
  givenname: Xinqiang
  surname: Qian
  fullname: Qian, Xinqiang
  organization: School of Mathematics, Southeast University
– sequence: 5
  givenname: Panos M.
  surname: Pardalos
  fullname: Pardalos, Panos M.
  organization: Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, LATNA, Higher School of Economics
BookMark eNp9kEtOwzAURS1UJNrCBhhZYogMttPE9hBVfCpVYgJDZDnxc0mVOMVOC9kBq2BxrISUICExYPQm99z7dCZo5BsPCJ0yesEoFZeRUakkoZwTypigpDtAY5aKhHDFshEaU8VTklLKjtAkxjWlVMmUj9HTwu8gRMC1eTuP2xrHjfG-9CvcBgC8CU1eQY233kLAr1CunluwuPp8_8C-CTXOO1w3tnTdHuk7yJDBOyjaJhyjQ2eqCCc_d4oeb64f5ndkeX-7mF8tScGTWUcEqDwxPBVMGVrMCiu4Sbm0LrVOCgNSSOA2Vy4rnLIZGGDCgrAWMsUSx5MpOht6-39fthBbvW62wfeTmgueZRlPJO1TfEgVoYkxgNObUNYmdJpRvdeoB42616i_Nequh-QfqChb05aNb4Mpq__RZEBjv-NXEH6_-of6AhHYjOU
CitedBy_id crossref_primary_10_1007_s10898_022_01212_5
crossref_primary_10_3390_axioms14090691
crossref_primary_10_1016_j_cam_2024_116110
Cites_doi 10.1007/s10898-017-0546-5
10.1023/B:JOCO.0000038914.26975.9b
10.1016/j.tcs.2016.06.002
10.1007/s10878-020-00656-3
10.1007/s10878-006-9016-6
10.1006/jagm.1999.1052
10.1023/A:1013807829021
10.1016/j.cor.2005.12.003
10.1007/s10898-017-0554-5
10.1007/s10898-019-00852-4
10.1007/s10898-014-0140-z
10.1007/s10878-005-5486-1
10.1007/s10878-019-00433-x
10.1007/BF01589111
10.1016/0305-0548(94)90084-1
10.1007/s10898-008-9294-x
10.1287/opre.47.2.291
10.1016/j.ejor.2004.07.059
10.1007/s10898-005-6470-0
10.1016/0377-2217(94)00252-5
10.1007/s10898-011-9742-x
10.1287/opre.51.5.785.16756
10.1016/j.ejor.2007.04.031
ContentType Journal Article
Copyright The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022
The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.
Copyright_xml – notice: The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022
– notice: The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.
DBID AAYXX
CITATION
3V.
7SC
7WY
7WZ
7XB
87Z
88I
8AL
8AO
8FD
8FE
8FG
8FK
8FL
8G5
ABJCF
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BEZIV
BGLVJ
CCPQU
DWQXO
FRNLG
F~G
GNUQQ
GUQSH
HCIFZ
JQ2
K60
K6~
K7-
L.-
L6V
L7M
L~C
L~D
M0C
M0N
M2O
M2P
M7S
MBDVC
P5Z
P62
PHGZM
PHGZT
PKEHL
PQBIZ
PQBZA
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
Q9U
DOI 10.1007/s10898-022-01170-y
DatabaseName CrossRef
ProQuest Central (Corporate)
Computer and Information Systems Abstracts
ABI/INFORM Collection
ABI/INFORM Global (PDF only)
ProQuest Central (purchase pre-March 2016)
ABI/INFORM Collection
Science Database (Alumni Edition)
Computing Database (Alumni Edition)
ProQuest Pharma Collection
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
ABI/INFORM Collection (Alumni)
Research Library (Alumni)
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials Local Electronic Collection Information
ProQuest Central
Business Premium Collection
Technology Collection
ProQuest One Community College
ProQuest Central Korea
Business Premium Collection (Alumni)
ABI/INFORM Global (Corporate)
ProQuest Central Student
Research Library Prep
SciTech Premium Collection
ProQuest Computer Science Collection
ProQuest Business Collection (Alumni Edition)
ProQuest Business Collection
Computer Science Database
ABI/INFORM Professional Advanced
ProQuest Engineering Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
ABI/INFORM Global
Computing Database
Research Library
Science Database
Engineering Database
Research Library (Corporate)
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest One Academic Middle East (New)
ProQuest One Business (OCUL)
ProQuest One Business (Alumni)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering Collection
ProQuest Central Basic
DatabaseTitle CrossRef
ProQuest Business Collection (Alumni Edition)
Research Library Prep
Computer Science Database
ProQuest Central Student
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
SciTech Premium Collection
ProQuest Central China
ABI/INFORM Complete
ProQuest One Applied & Life Sciences
ProQuest Central (New)
Engineering Collection
Advanced Technologies & Aerospace Collection
Business Premium Collection
ABI/INFORM Global
Engineering Database
ProQuest Science Journals (Alumni Edition)
ProQuest One Academic Eastern Edition
ProQuest Technology Collection
ProQuest Business Collection
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ABI/INFORM Global (Corporate)
ProQuest One Business
Technology Collection
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest One Academic Middle East (New)
ProQuest Central (Alumni Edition)
ProQuest One Community College
Research Library (Alumni Edition)
ProQuest Pharma Collection
ProQuest Central
ABI/INFORM Professional Advanced
ProQuest Engineering Collection
ProQuest Central Korea
ProQuest Research Library
Advanced Technologies Database with Aerospace
ABI/INFORM Complete (Alumni Edition)
ProQuest Computing
ABI/INFORM Global (Alumni Edition)
ProQuest Central Basic
ProQuest Science Journals
ProQuest Computing (Alumni Edition)
ProQuest SciTech Collection
Computer and Information Systems Abstracts Professional
Advanced Technologies & Aerospace Database
Materials Science & Engineering Collection
ProQuest One Business (Alumni)
ProQuest Central (Alumni)
Business Premium Collection (Alumni)
DatabaseTitleList
ProQuest Business Collection (Alumni Edition)
Database_xml – sequence: 1
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Mathematics
Sciences (General)
Computer Science
EISSN 1573-2916
EndPage 738
ExternalDocumentID 10_1007_s10898_022_01170_y
GrantInformation_xml – fundername: National Natural Science Foundation of China
  grantid: 11471073
  funderid: http://dx.doi.org/10.13039/501100001809
GroupedDBID -52
-57
-5G
-BR
-EM
-Y2
-~C
.4S
.86
.DC
.VR
06D
0R~
0VY
199
1N0
1SB
2.D
203
28-
29K
2J2
2JN
2JY
2KG
2LR
2P1
2VQ
2~H
30V
3V.
4.4
406
408
409
40D
40E
5GY
5QI
5VS
67Z
6NX
78A
7WY
88I
8AO
8FE
8FG
8FL
8G5
8TC
8UJ
95-
95.
95~
96X
AAAVM
AABHQ
AACDK
AAHNG
AAIAL
AAJBT
AAJKR
AANZL
AARHV
AARTL
AASML
AATNV
AATVU
AAUYE
AAWCG
AAYIU
AAYOK
AAYQN
AAYTO
AAYZH
ABAKF
ABBBX
ABBXA
ABDZT
ABECU
ABFTV
ABHLI
ABHQN
ABJCF
ABJNI
ABJOX
ABKCH
ABKTR
ABMNI
ABMQK
ABNWP
ABQBU
ABQSL
ABSXP
ABTAH
ABTEG
ABTHY
ABTKH
ABTMW
ABULA
ABUWG
ABWNU
ABXPI
ACAOD
ACBXY
ACDTI
ACGFS
ACGOD
ACHSB
ACHXU
ACIWK
ACKNC
ACMDZ
ACMLO
ACOKC
ACOMO
ACPIV
ACZOJ
ADHHG
ADHIR
ADIMF
ADINQ
ADKNI
ADKPE
ADRFC
ADTPH
ADURQ
ADYFF
ADZKW
AEBTG
AEFIE
AEFQL
AEGAL
AEGNC
AEJHL
AEJRE
AEKMD
AEMSY
AENEX
AEOHA
AEPYU
AESKC
AETLH
AEVLU
AEXYK
AFBBN
AFEXP
AFGCZ
AFKRA
AFLOW
AFQWF
AFWTZ
AFZKB
AGAYW
AGDGC
AGGDS
AGJBK
AGMZJ
AGQEE
AGQMX
AGRTI
AGWIL
AGWZB
AGYKE
AHAVH
AHBYD
AHKAY
AHSBF
AHYZX
AI.
AIAKS
AIGIU
AIIXL
AILAN
AITGF
AJBLW
AJRNO
AJZVZ
ALMA_UNASSIGNED_HOLDINGS
ALWAN
AMKLP
AMXSW
AMYLF
AMYQR
AOCGG
ARAPS
ARCSS
ARMRJ
ASPBG
AVWKF
AXYYD
AYQZM
AZFZN
AZQEC
B-.
BA0
BAPOH
BBWZM
BDATZ
BENPR
BEZIV
BGLVJ
BGNMA
BPHCQ
BSONS
CAG
CCPQU
COF
CS3
CSCUP
D-I
DDRTE
DL5
DNIVK
DPUIP
DU5
DWQXO
EBLON
EBS
EDO
EIOEI
EJD
ESBYG
FEDTE
FERAY
FFXSO
FIGPU
FINBP
FNLPD
FRNLG
FRRFC
FSGXE
FWDCC
GGCAI
GGRSB
GJIRD
GNUQQ
GNWQR
GQ6
GQ7
GQ8
GROUPED_ABI_INFORM_COMPLETE
GUQSH
GXS
H13
HCIFZ
HF~
HG5
HG6
HMJXF
HQYDN
HRMNR
HVGLF
HZ~
I09
IAO
IHE
IJ-
IKXTQ
ITC
ITM
IWAJR
IXC
IZIGR
IZQ
I~X
I~Z
J-C
J0Z
JBSCW
JCJTX
JZLTJ
K60
K6V
K6~
K7-
KDC
KOV
KOW
L6V
LAK
LLZTM
M0C
M0N
M2O
M2P
M4Y
M7S
MA-
N2Q
N9A
NB0
NDZJH
NPVJJ
NQJWS
NU0
O9-
O93
O9G
O9I
O9J
OAM
OVD
P19
P2P
P62
P9M
PF0
PQBIZ
PQBZA
PQQKQ
PROAC
PT4
PT5
PTHSS
Q2X
QOK
QOS
R4E
R89
R9I
RHV
RNI
RNS
ROL
RPX
RSV
RZC
RZE
RZK
S16
S1Z
S26
S27
S28
S3B
SAP
SBE
SCLPG
SDD
SDH
SDM
SHX
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
STPWE
SZN
T13
T16
TEORI
TN5
TSG
TSK
TSV
TUC
TUS
U2A
UG4
UOJIU
UTJUX
UZXMN
VC2
VFIZW
VH1
W23
W48
WK8
YLTOR
Z45
Z5O
Z7R
Z7X
Z7Z
Z81
Z83
Z86
Z88
Z8M
Z8N
Z8T
Z8U
Z8W
Z92
ZMTXR
ZWQNP
ZY4
~EX
AAPKM
AAYXX
ABBRH
ABDBE
ABFSG
ABRTQ
ACSTC
ADHKG
AEZWR
AFDZB
AFFHD
AFHIU
AFOHR
AGQPQ
AHPBZ
AHWEU
AIXLP
AMVHM
ATHPR
AYFIA
CITATION
PHGZM
PHGZT
PQGLB
7SC
7XB
8AL
8FD
8FK
JQ2
L.-
L7M
L~C
L~D
MBDVC
PKEHL
PQEST
PQUKI
PRINS
Q9U
ID FETCH-LOGICAL-c234y-7e9b3a25719a0c4cd72a528df5df87ae878e2db9f6cf9d6eae17de7dde6913f23
IEDL.DBID M2P
ISSN 0925-5001
IngestDate Wed Nov 05 01:07:55 EST 2025
Sat Nov 29 01:59:36 EST 2025
Tue Nov 18 21:22:59 EST 2025
Fri Feb 21 02:47:32 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 3
Keywords Weighted
Strongly polynomial time algorithm
Binary search method
Inverse max+sum spanning tree
norm
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c234y-7e9b3a25719a0c4cd72a528df5df87ae878e2db9f6cf9d6eae17de7dde6913f23
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-2653-1868
PQID 2726662380
PQPubID 29930
PageCount 24
ParticipantIDs proquest_journals_2726662380
crossref_primary_10_1007_s10898_022_01170_y
crossref_citationtrail_10_1007_s10898_022_01170_y
springer_journals_10_1007_s10898_022_01170_y
PublicationCentury 2000
PublicationDate 20221100
2022-11-00
20221101
PublicationDateYYYYMMDD 2022-11-01
PublicationDate_xml – month: 11
  year: 2022
  text: 20221100
PublicationDecade 2020
PublicationPlace New York
PublicationPlace_xml – name: New York
– name: Dordrecht
PublicationSubtitle An International Journal Dealing with Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering
PublicationTitle Journal of global optimization
PublicationTitleAbbrev J Glob Optim
PublicationYear 2022
Publisher Springer US
Springer Nature B.V
Publisher_xml – name: Springer US
– name: Springer Nature B.V
References Cai, Duin, Yang, Zhang (CR2) 2008; 188
Li, Shu, Huang, Bai (CR13) 2019; 38
Lai, Orlin (CR12) 2003
Zhang, Zhang, He (CR25) 2006; 34
Guan, He, Pardalos, Zhang (CR4) 2017; 69
Punnen, Nair (CR20) 1996; 89
Li, Zhang, Lai (CR16) 2016; 640
Duin, Volgenant (CR3) 2006; 170
Sokkalingam, Ahuja, Orlin (CR21) 1999; 47
Li, Zhang, Yang, Zhang, Du (CR17) 2020; 77
Punnen (CR19) 1994; 21
Guan, Zhang (CR7) 2012; 54
He, Zhang, Yao (CR11) 2005; 9
Yang, Zhang (CR23) 2007; 13
Guan, Pardalos, Zuo (CR5) 2015; 61
Heuburger (CR9) 2004; 8
Li, Zhang, Du (CR15) 2018; 30
Tayyebi, Sepasian (CR22) 2020; 40
Hochbaum (CR10) 2003; 51
Guan, Pardalos, Zhang (CR6) 2017; 5
Zhang, Liu (CR24) 2002; 6
Liu, Wang (CR14) 2009; 43
Minoux (CR18) 1989; 45
Guan, Zhang (CR8) 2007; 34
Ahuja, Orlin (CR1) 2000; 34
XG Yang (1170_CR23) 2007; 13
DS Hochbaum (1170_CR10) 2003; 51
X Li (1170_CR17) 2020; 77
XC Guan (1170_CR7) 2012; 54
M-C Cai (1170_CR2) 2008; 188
J Tayyebi (1170_CR22) 2020; 40
X Li (1170_CR13) 2019; 38
XC Guan (1170_CR4) 2017; 69
XC Guan (1170_CR5) 2015; 61
S Li (1170_CR16) 2016; 640
RK Ahuja (1170_CR1) 2000; 34
XC Guan (1170_CR6) 2017; 5
M Minoux (1170_CR18) 1989; 45
Y He (1170_CR11) 2005; 9
JZ Zhang (1170_CR24) 2002; 6
X Li (1170_CR15) 2018; 30
CW Duin (1170_CR3) 2006; 170
C Heuburger (1170_CR9) 2004; 8
PT Sokkalingam (1170_CR21) 1999; 47
AP Punnen (1170_CR19) 1994; 21
XC Guan (1170_CR8) 2007; 34
AP Punnen (1170_CR20) 1996; 89
LC Liu (1170_CR14) 2009; 43
B Zhang (1170_CR25) 2006; 34
T Lai (1170_CR12) 2003
References_xml – volume: 69
  start-page: 911
  year: 2017
  end-page: 925
  ident: CR4
  article-title: Inverse max + sum spanning tree problem under Hamming distance by modifying the sum-cost vector
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-017-0546-5
– volume: 8
  start-page: 329
  issue: 3
  year: 2004
  end-page: 361
  ident: CR9
  article-title: Inverse optimization, a survey on problems, methods, and results
  publication-title: J. Comb. Optim.
  doi: 10.1023/B:JOCO.0000038914.26975.9b
– volume: 640
  start-page: 119
  year: 2016
  end-page: 124
  ident: CR16
  article-title: Algorithms for constraint partial inverse matroid problem with weight increase forbidden
  publication-title: Theor. Comput. Sci.
  doi: 10.1016/j.tcs.2016.06.002
– volume: 40
  start-page: 1075
  issue: 4
  year: 2020
  end-page: 1091
  ident: CR22
  article-title: Partial inverse min-max spanning tree problem
  publication-title: J. Comb. Optim.
  doi: 10.1007/s10878-020-00656-3
– volume: 13
  start-page: 123
  year: 2007
  end-page: 135
  ident: CR23
  article-title: Some inverse min-max network problems under weighted and norms with bound constraints on changes
  publication-title: J. Comb. Optim.
  doi: 10.1007/s10878-006-9016-6
– volume: 34
  start-page: 177
  year: 2000
  end-page: 193
  ident: CR1
  article-title: A faster algorithm for the inverse spanning tree problem
  publication-title: J. Algorithm
  doi: 10.1006/jagm.1999.1052
– volume: 5
  start-page: 1
  year: 2017
  end-page: 13
  ident: CR6
  article-title: Inverse max+sum spanning tree problem under weighted norm by modifying the sum-cost vector
  publication-title: Optim. Lett.
– year: 2003
  ident: CR12
  publication-title: The Complexity of Preprocessing. Research Report of Sloan School of Management
– volume: 6
  start-page: 207
  year: 2002
  end-page: 227
  ident: CR24
  article-title: A general model of some inverse combinatorial optimization problems and its solution method under norm
  publication-title: J. Comb. Optim.
  doi: 10.1023/A:1013807829021
– volume: 34
  start-page: 3243
  year: 2007
  end-page: 3254
  ident: CR8
  article-title: Inverse constrained bottleneck problems under weighted norm
  publication-title: Comput. Oper. Res.
  doi: 10.1016/j.cor.2005.12.003
– volume: 30
  start-page: 677
  year: 2018
  end-page: 685
  ident: CR15
  article-title: Partial inverse maximum spanning tree in which weight can only be decreased under norm
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-017-0554-5
– volume: 77
  start-page: 319
  issue: 2
  year: 2020
  end-page: 340
  ident: CR17
  article-title: Approximation algorithms for capacitated partial inverse maximum spanning tree problem
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-019-00852-4
– volume: 61
  start-page: 165
  issue: 1
  year: 2015
  end-page: 182
  ident: CR5
  article-title: Inverse max + sum spanning tree problem by modifying the sum-cost vector under weighted Norm
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-014-0140-z
– volume: 9
  start-page: 91
  year: 2005
  end-page: 100
  ident: CR11
  article-title: Weighted inverse minimum spanning tree problems under Hamming distance
  publication-title: J. Comb. Optim.
  doi: 10.1007/s10878-005-5486-1
– volume: 38
  start-page: 1005
  issue: 4
  year: 2019
  end-page: 1018
  ident: CR13
  article-title: Capacitated partial inverse maximum spanning tree under the weighted Hamming distance
  publication-title: J. Comb. Optim.
  doi: 10.1007/s10878-019-00433-x
– volume: 45
  start-page: 361
  year: 1989
  end-page: 371
  ident: CR18
  article-title: Solving combinatorial problemswith combined minmax-minsum objective and applications
  publication-title: Math. Program.
  doi: 10.1007/BF01589111
– volume: 21
  start-page: 707
  issue: 6
  year: 1994
  end-page: 716
  ident: CR19
  article-title: On combined minmax-minsum optimization
  publication-title: Comput. Oper. Res.
  doi: 10.1016/0305-0548(94)90084-1
– volume: 43
  start-page: 83
  year: 2009
  end-page: 95
  ident: CR14
  article-title: Constrained inverse min-max spanning tree problems under the weighted Hamming distance
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-008-9294-x
– volume: 47
  start-page: 291
  issue: 2
  year: 1999
  end-page: 298
  ident: CR21
  article-title: Solving inverse spanning tree problems through network flow techniques
  publication-title: Oper. Res.
  doi: 10.1287/opre.47.2.291
– volume: 170
  start-page: 887
  year: 2006
  end-page: 899
  ident: CR3
  article-title: Some inverse optimization problems under the Hamming distance
  publication-title: Eur. J. Oper. Res.
  doi: 10.1016/j.ejor.2004.07.059
– volume: 34
  start-page: 467
  issue: 3
  year: 2006
  end-page: 474
  ident: CR25
  article-title: Constrained inverse minimum spanning tree problems under the bottlenecktype Hamming distance
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-005-6470-0
– volume: 89
  start-page: 423
  year: 1996
  end-page: 426
  ident: CR20
  article-title: An algorithm for the max + sum spanning tree problem
  publication-title: Eur. J. Oper. Res.
  doi: 10.1016/0377-2217(94)00252-5
– volume: 54
  start-page: 75
  issue: 1
  year: 2012
  end-page: 82
  ident: CR7
  article-title: Inverse 1-median problem on trees under weighted Hamming distance
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-011-9742-x
– volume: 51
  start-page: 785
  issue: 5
  year: 2003
  end-page: 797
  ident: CR10
  article-title: Efficient algorithms for the inverse spanning tree problem
  publication-title: Oper. Res.
  doi: 10.1287/opre.51.5.785.16756
– volume: 188
  start-page: 348
  year: 2008
  end-page: 353
  ident: CR2
  article-title: The partial inverse minimum spanning tree problem when weight increasing is forbidden
  publication-title: Eur. J. Oper. Res.
  doi: 10.1016/j.ejor.2007.04.031
– volume: 30
  start-page: 677
  year: 2018
  ident: 1170_CR15
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-017-0554-5
– volume: 40
  start-page: 1075
  issue: 4
  year: 2020
  ident: 1170_CR22
  publication-title: J. Comb. Optim.
  doi: 10.1007/s10878-020-00656-3
– volume: 51
  start-page: 785
  issue: 5
  year: 2003
  ident: 1170_CR10
  publication-title: Oper. Res.
  doi: 10.1287/opre.51.5.785.16756
– volume: 47
  start-page: 291
  issue: 2
  year: 1999
  ident: 1170_CR21
  publication-title: Oper. Res.
  doi: 10.1287/opre.47.2.291
– volume: 6
  start-page: 207
  year: 2002
  ident: 1170_CR24
  publication-title: J. Comb. Optim.
  doi: 10.1023/A:1013807829021
– volume: 43
  start-page: 83
  year: 2009
  ident: 1170_CR14
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-008-9294-x
– volume-title: The Complexity of Preprocessing. Research Report of Sloan School of Management
  year: 2003
  ident: 1170_CR12
– volume: 170
  start-page: 887
  year: 2006
  ident: 1170_CR3
  publication-title: Eur. J. Oper. Res.
  doi: 10.1016/j.ejor.2004.07.059
– volume: 34
  start-page: 3243
  year: 2007
  ident: 1170_CR8
  publication-title: Comput. Oper. Res.
  doi: 10.1016/j.cor.2005.12.003
– volume: 8
  start-page: 329
  issue: 3
  year: 2004
  ident: 1170_CR9
  publication-title: J. Comb. Optim.
  doi: 10.1023/B:JOCO.0000038914.26975.9b
– volume: 188
  start-page: 348
  year: 2008
  ident: 1170_CR2
  publication-title: Eur. J. Oper. Res.
  doi: 10.1016/j.ejor.2007.04.031
– volume: 54
  start-page: 75
  issue: 1
  year: 2012
  ident: 1170_CR7
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-011-9742-x
– volume: 5
  start-page: 1
  year: 2017
  ident: 1170_CR6
  publication-title: Optim. Lett.
– volume: 69
  start-page: 911
  year: 2017
  ident: 1170_CR4
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-017-0546-5
– volume: 21
  start-page: 707
  issue: 6
  year: 1994
  ident: 1170_CR19
  publication-title: Comput. Oper. Res.
  doi: 10.1016/0305-0548(94)90084-1
– volume: 89
  start-page: 423
  year: 1996
  ident: 1170_CR20
  publication-title: Eur. J. Oper. Res.
  doi: 10.1016/0377-2217(94)00252-5
– volume: 13
  start-page: 123
  year: 2007
  ident: 1170_CR23
  publication-title: J. Comb. Optim.
  doi: 10.1007/s10878-006-9016-6
– volume: 34
  start-page: 467
  issue: 3
  year: 2006
  ident: 1170_CR25
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-005-6470-0
– volume: 640
  start-page: 119
  year: 2016
  ident: 1170_CR16
  publication-title: Theor. Comput. Sci.
  doi: 10.1016/j.tcs.2016.06.002
– volume: 61
  start-page: 165
  issue: 1
  year: 2015
  ident: 1170_CR5
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-014-0140-z
– volume: 38
  start-page: 1005
  issue: 4
  year: 2019
  ident: 1170_CR13
  publication-title: J. Comb. Optim.
  doi: 10.1007/s10878-019-00433-x
– volume: 45
  start-page: 361
  year: 1989
  ident: 1170_CR18
  publication-title: Math. Program.
  doi: 10.1007/BF01589111
– volume: 9
  start-page: 91
  year: 2005
  ident: 1170_CR11
  publication-title: J. Comb. Optim.
  doi: 10.1007/s10878-005-5486-1
– volume: 34
  start-page: 177
  year: 2000
  ident: 1170_CR1
  publication-title: J. Algorithm
  doi: 10.1006/jagm.1999.1052
– volume: 77
  start-page: 319
  issue: 2
  year: 2020
  ident: 1170_CR17
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-019-00852-4
SSID ssj0009852
Score 2.340439
Snippet The max+sum spanning tree ( MSST ) problem is to determine a spanning tree T whose combined weight max e ∈ T w ( e ) + ∑ e ∈ T c ( e ) is minimum for a given...
The max+sum spanning tree (MSST) problem is to determine a spanning tree T whose combined weight maxe∈Tw(e)+∑e∈Tc(e) is minimum for a given edge-weighted...
SourceID proquest
crossref
springer
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 715
SubjectTerms Algorithms
Computer Science
Graph theory
Iterative methods
Linear programming
Mathematics
Mathematics and Statistics
Operations Research/Decision Theory
Optimization
Polynomials
Real Functions
SummonAdditionalLinks – databaseName: SpringerLINK Contemporary 1997-Present
  dbid: RSV
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NSsQwEB509aAHV1fF9Y8cPChaaNK0SY4iihdF_MOLlLRJQFhX2fq3b-BT-HA-iUk2dVVU0GPpJJRkZjJ08n0fwBrJEkwNKSLMiyKiRGWR0MqGu0iowJramrbwYhPs8JBfXIijAAqr6tvudUvSZ-oPYDfu4GDEXSVwcin9URizxx13gg3HJ-dDql3udXZiQdIotVk4QGW-n-PzcTSsMb-0Rf1ps9f833dOw1SoLtH2wB1mYER3W9CslRtQCOQWTH6gIbRPB-_crVULZoJVhdYDJ_XGLFw6Po5epdG1fNq0zotsIvJiR8h1tVGQpUEOkdZDj_53q1ao8_r8grq2KkZFH13fqCsPqnJzRAMb9OCbBnNwtrd7urMfBWWGqCQJ7UdMiyKRNtqxkHFJS8WITAlXJlWGM6k545qoQpisNEJlWmrMlGY2lWYCJ4Yk89Do3nT1AiAmWUKtCY15QVNseGlTjomN5HEmcanbgOsNystAW-7UMzr5kHDZLXhuFzz3C57327D5PuZ2QNrxq_Vyve95COAqJ8xWLrY05HEbtup9Hr7-ebbFv5kvwQRxruLRjcvQuOvd6xUYLx_urqreqnfsN6xP9AQ
  priority: 102
  providerName: Springer Nature
Title Inverse max+sum spanning tree problem under weighted l∞ norm by modifying max-weight vector
URI https://link.springer.com/article/10.1007/s10898-022-01170-y
https://www.proquest.com/docview/2726662380
Volume 84
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAVX
  databaseName: SpringerLINK Contemporary 1997-Present
  customDbUrl:
  eissn: 1573-2916
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0009852
  issn: 0925-5001
  databaseCode: RSV
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22
  providerName: Springer Nature
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1baxQxFD7Y1gf7UG1V3FpLHnxQanCSuSR5KlpaBOk6tF6qIEMmFyi0u-1Ore4_6K_wx_lLPMlmHRXsiy8HhskcBr6cCzk55wN4zKucFZ63lMm2pQW3FVXOormrvFDMFZjTtpFsQgyH8uhI1enArUvXKuc-MTpqOzbhjPw5FxhKMFbLbPvsnAbWqFBdTRQaC7CEmQ0LV7r2ed0P3ZWRcSdTvKQl-uPUNJNa52RoLuPhYkIgX5n-GZj6bPOvAmmMO3u3__eP78BKyjjJi9kWWYUbbrQGy7_NIVyD1WThHXmSxlA_vQufwwiOSefIqf62heoI-p7Ib0RCIZskJhoSmtAm5Gs8YXWWnPy4-k5GmAiTdkpOx_Y49lEFHXS2hlzGOsE9eLe3-3bnFU1kDNTwvJhS4VSbazRwpnRmCmMF1yWX1pfWS6GdFNJx2ypfGa9s5bRjwjqB3rNSLPc8vw-Lo_HIPQAitMgLXFJksi1K5qVBL-Mzr2VWaWbcANgcicakSeWBMOOk6WcsB_QaRK-J6DXTAWz9-uZsNqfj2tUbc8iaZLNd0-M1gGdz0PvX_9a2fr22h3CLh30WGxg3YPFi8sU9gpvm8uK4m2zCgvjwcROWXu4O6wN8ei0oyv1sJ0j-Jso6SHGIsi4_oTw4fP8Tt7H6tA
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3NThUxGP1CkERdIKDGi4BdaKLBhmmnM20XxhCQQMAbFpiwMWOnPwkJ3It3EJw38Cl8BB_KJ7Ht7TBqIjsWrqfTzExPz_dN2-8cgOe0zAlztMZE1DVm1JRYWuOnu8yZJJb5nLaOZhN8OBTHx_JwBn50tTDhWGXHiZGozViHNfINyn0o8bFaZG_PP-PgGhV2VzsLjSks9m175X_Zmjd72358X1C68-5oaxcnVwGsac5azK2sc-WRSqTKNNOGU1VQYVxhnODKCi4sNbV0pXbSlFZZwo3lngZKSXIXhA485d9hQVksHBWkh73Ir4gOP5mkBS48_6cinVSqJ0IxGw0HIYLZS_tnIOyz2782ZGOc23nwv32hBZhPGTXanE6BRZixoyW4_5vO4hIsJgZr0Msks_3qIXwMEiOTxqIz9XXdPz7y3Br9m1DYqEfJaQeFIrsJuooryNag05_fvqORT_RR3aKzsTmJdWKhDzxtgy7jPsgj-HArL_0YZkfjkX0CiCueM9-EZaJmBXFCexZ1mVMiKxXRdgCkG_lKJyX2YAhyWvUa0gEtlUdLFdFStQNYv77nfKpDcmPrlQ4iVeKkpurxMYDXHcj6y__ubfnm3p7B3d2j9wfVwd5w_yncowHjsVhzBWYvJl_sKszpy4uTZrIWZwuCT7cNvl-t3VLZ
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3dahQxFD6UKqIXaqviatVcKCg1dJLJTJILEbEulsqyFwpFkHEmP1Bod-tObZ038Cl8EB_HJ_Ekm3FUsHe98HoyYX6-fCc_53wfwENe5kx43lCmmoYKbkuqncXhrnOhmRM4p22i2YScTNTenp6uwPe-FiakVfacGInazk3YI9_iEkMJxmqVbfmUFjHdHj8_-kSDg1Q4ae3tNJYQ2XXdKS7f2mc72_ivH3E-fvX25WuaHAao4bnoqHS6yWtELdN1ZoSxktcFV9YX1itZOyWV47bRvjRe29LVjknrJFJCqVnug-gB0v8FiWvMkE44Ld4Pgr8quv1kmhe0wFiQCnZS2Z4KhW08JEUE45fuz6A4zHT_OpyNMW987X_-WtfhapppkxfLobEGK262Dld-019ch7XEbC15nOS3n9yAD0F6ZNE6clh_2cTHJ8i50deJhAN8khx4SCi-W5DTuLPsLDn48fUbmeECgDQdOZzb_Vg_FvqgyzbkJJ6P3IR35_LSt2B1Np-520BkLXOBTUSmGlEwrwyyq898rbKyZsaNgPUoqExSaA9GIQfVoC0dkFMhcqqInKobweave46W-iRntt7o4VIlrmqrASsjeNoDbrj8797unN3bA7iEmKve7Ex278JlHuAeazg3YPV48dndg4vm5Hi_XdyPA4fAx_PG3k_s-FvF
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Inverse+max%2Bsum+spanning+tree+problem+under+weighted+l%E2%88%9E+norm+by+modifying+max-weight+vector&rft.jtitle=Journal+of+global+optimization&rft.au=Jia%2C+Junhua&rft.au=Guan%2C+Xiucui&rft.au=Zhang%2C+Qiao&rft.au=Qian%2C+Xinqiang&rft.date=2022-11-01&rft.pub=Springer+Nature+B.V&rft.issn=0925-5001&rft.eissn=1573-2916&rft.volume=84&rft.issue=3&rft.spage=715&rft.epage=738&rft_id=info:doi/10.1007%2Fs10898-022-01170-y&rft.externalDBID=HAS_PDF_LINK
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0925-5001&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0925-5001&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0925-5001&client=summon