Nonstationary Queues: Estimation of the Rate of Convergence View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-03

AUTHORS

Boris L. Granovsky, A. Zeifman

ABSTRACT

The paper is devoted to the estimation of the rate of of exponential convergence of nonhomogeneous queues exhibiting different types of ergodicity. The main tool of our study is the method, which was proposed by the second author in the late 1980s and was subsequently extended and developed in different directions in a series of joint papers by the authors of the present paper. The method originated from the idea of Gnedenko and Makarov to employ the logarithmic norm of a matrix to the study of the problem of stability of nonhomogeneous Markov chains. In the present paper we apply the method to a class of Markov queues with a special form of nonhomogenuity that is common in applications. More... »

PAGES

363-388

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/b:ques.0000027991.19758.b4

DOI

http://dx.doi.org/10.1023/b:ques.0000027991.19758.b4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041771067


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Technion \u2013 Israel Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6451.6", 
          "name": [
            "Department of Mathematics, Technion-Israel Institute of Technology, 32000, Haifa, Israel"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Granovsky", 
        "givenName": "Boris L.", 
        "id": "sg:person.014712555662.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014712555662.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vologda State Pedagogical University", 
          "id": "https://www.grid.ac/institutes/grid.445062.1", 
          "name": [
            "Vologda Science Coordination Centre CEMI RAS, Vologda State Pedagogical University, and, Vologda, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zeifman", 
        "givenName": "A.", 
        "id": "sg:person.016403133727.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016403133727.49"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf01148939", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000416243", 
          "https://doi.org/10.1007/bf01148939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200103080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001113512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0001867800015214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001136711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s002190020003967x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001600581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200098156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003131226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1526-4025(200010/12)16:4<235::aid-asmb415>3.0.co;2-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003266283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-6377(90)90041-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008276228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-6377(90)90041-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008276228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200017940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008366971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02432876", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013243703", 
          "https://doi.org/10.1007/bf02432876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02432876", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013243703", 
          "https://doi.org/10.1007/bf02432876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200017307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020769840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200043679", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021703534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02673717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027203042", 
          "https://doi.org/10.1007/bf02673717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02673717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027203042", 
          "https://doi.org/10.1007/bf02673717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200036792", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027970555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-4149(94)90123-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028511523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-4149(95)00028-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029653681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1016551122838", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031558244", 
          "https://doi.org/10.1023/a:1016551122838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200024451", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032888222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200018611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033880740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0001867800017523", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036095012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200018854", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036968014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-4149(97)00037-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039011559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-4149(97)00085-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041401865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02106789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042967296", 
          "https://doi.org/10.1007/bf02106789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02106789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042967296", 
          "https://doi.org/10.1007/bf02106789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021900200016107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043652357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1019157019655", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047886343", 
          "https://doi.org/10.1023/a:1019157019655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/1024098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062861778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aoap/1034968224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064397733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aoap/1177004901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064397936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aoap/1177004908", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064397943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aoap/1177005981", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064398131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mnsc.25.6.522", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064719207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/moor.10.2.305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064722685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/moor.20.1.33", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064723732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/opre.16.1.64", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064727211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/opre.39.3.502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064730235"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-03", 
    "datePublishedReg": "2004-03-01", 
    "description": "The paper is devoted to the estimation of the rate of of exponential convergence of nonhomogeneous queues exhibiting different types of ergodicity. The main tool of our study is the method, which was proposed by the second author in the late 1980s and was subsequently extended and developed in different directions in a series of joint papers by the authors of the present paper. The method originated from the idea of Gnedenko and Makarov to employ the logarithmic norm of a matrix to the study of the problem of stability of nonhomogeneous Markov chains. In the present paper we apply the method to a class of Markov queues with a special form of nonhomogenuity that is common in applications.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/b:ques.0000027991.19758.b4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1048269", 
        "issn": [
          "0257-0130", 
          "1572-9443"
        ], 
        "name": "Queueing Systems", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3-4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "46"
      }
    ], 
    "name": "Nonstationary Queues: Estimation of the Rate of Convergence", 
    "pagination": "363-388", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c6fac861f9359bc95f5e1632943fa9cec1bcf1e311e4fa7be2d7b68a36d0fd60"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/b:ques.0000027991.19758.b4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1041771067"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/b:ques.0000027991.19758.b4", 
      "https://app.dimensions.ai/details/publication/pub.1041771067"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:30", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8693_00000537.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023%2FB%3AQUES.0000027991.19758.b4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1023/b:ques.0000027991.19758.b4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/b:ques.0000027991.19758.b4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/b:ques.0000027991.19758.b4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/b:ques.0000027991.19758.b4'


 

This table displays all metadata directly associated to this object as RDF triples.

182 TRIPLES      21 PREDICATES      62 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/b:ques.0000027991.19758.b4 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Nd3b8bc1ea85e4af999aedd53745b9fff
4 schema:citation sg:pub.10.1007/bf01148939
5 sg:pub.10.1007/bf02106789
6 sg:pub.10.1007/bf02432876
7 sg:pub.10.1007/bf02673717
8 sg:pub.10.1023/a:1016551122838
9 sg:pub.10.1023/a:1019157019655
10 https://doi.org/10.1002/1526-4025(200010/12)16:4<235::aid-asmb415>3.0.co;2-s
11 https://doi.org/10.1016/0167-6377(90)90041-3
12 https://doi.org/10.1016/0304-4149(94)90123-6
13 https://doi.org/10.1016/0304-4149(95)00028-6
14 https://doi.org/10.1016/s0304-4149(97)00037-9
15 https://doi.org/10.1016/s0304-4149(97)00085-9
16 https://doi.org/10.1017/s0001867800015214
17 https://doi.org/10.1017/s0001867800017523
18 https://doi.org/10.1017/s0021900200016107
19 https://doi.org/10.1017/s0021900200017307
20 https://doi.org/10.1017/s0021900200017940
21 https://doi.org/10.1017/s0021900200018611
22 https://doi.org/10.1017/s0021900200018854
23 https://doi.org/10.1017/s0021900200024451
24 https://doi.org/10.1017/s0021900200036792
25 https://doi.org/10.1017/s002190020003967x
26 https://doi.org/10.1017/s0021900200043679
27 https://doi.org/10.1017/s0021900200098156
28 https://doi.org/10.1017/s0021900200103080
29 https://doi.org/10.1137/1024098
30 https://doi.org/10.1214/aoap/1034968224
31 https://doi.org/10.1214/aoap/1177004901
32 https://doi.org/10.1214/aoap/1177004908
33 https://doi.org/10.1214/aoap/1177005981
34 https://doi.org/10.1287/mnsc.25.6.522
35 https://doi.org/10.1287/moor.10.2.305
36 https://doi.org/10.1287/moor.20.1.33
37 https://doi.org/10.1287/opre.16.1.64
38 https://doi.org/10.1287/opre.39.3.502
39 schema:datePublished 2004-03
40 schema:datePublishedReg 2004-03-01
41 schema:description The paper is devoted to the estimation of the rate of of exponential convergence of nonhomogeneous queues exhibiting different types of ergodicity. The main tool of our study is the method, which was proposed by the second author in the late 1980s and was subsequently extended and developed in different directions in a series of joint papers by the authors of the present paper. The method originated from the idea of Gnedenko and Makarov to employ the logarithmic norm of a matrix to the study of the problem of stability of nonhomogeneous Markov chains. In the present paper we apply the method to a class of Markov queues with a special form of nonhomogenuity that is common in applications.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf N799d4de263c543bdb083019b1b223889
46 Ncb0d7a762ef045a19f36c0e76b566089
47 sg:journal.1048269
48 schema:name Nonstationary Queues: Estimation of the Rate of Convergence
49 schema:pagination 363-388
50 schema:productId N3916834ca18f4d1dac3463988b3422f1
51 N547d1fe718bf4cc794939c9c1b9cbece
52 N71a3a1567bf848b3b44c648dbb7be089
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041771067
54 https://doi.org/10.1023/b:ques.0000027991.19758.b4
55 schema:sdDatePublished 2019-04-10T23:30
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher N0f51af9a8fef4bc1a76d54980c2569e2
58 schema:url http://link.springer.com/10.1023%2FB%3AQUES.0000027991.19758.b4
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N0f51af9a8fef4bc1a76d54980c2569e2 schema:name Springer Nature - SN SciGraph project
63 rdf:type schema:Organization
64 N1538ea0046e54d38a5a1cfd766c35d41 rdf:first sg:person.016403133727.49
65 rdf:rest rdf:nil
66 N3916834ca18f4d1dac3463988b3422f1 schema:name dimensions_id
67 schema:value pub.1041771067
68 rdf:type schema:PropertyValue
69 N547d1fe718bf4cc794939c9c1b9cbece schema:name doi
70 schema:value 10.1023/b:ques.0000027991.19758.b4
71 rdf:type schema:PropertyValue
72 N71a3a1567bf848b3b44c648dbb7be089 schema:name readcube_id
73 schema:value c6fac861f9359bc95f5e1632943fa9cec1bcf1e311e4fa7be2d7b68a36d0fd60
74 rdf:type schema:PropertyValue
75 N799d4de263c543bdb083019b1b223889 schema:issueNumber 3-4
76 rdf:type schema:PublicationIssue
77 Ncb0d7a762ef045a19f36c0e76b566089 schema:volumeNumber 46
78 rdf:type schema:PublicationVolume
79 Nd3b8bc1ea85e4af999aedd53745b9fff rdf:first sg:person.014712555662.34
80 rdf:rest N1538ea0046e54d38a5a1cfd766c35d41
81 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
82 schema:name Engineering
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
85 schema:name Materials Engineering
86 rdf:type schema:DefinedTerm
87 sg:journal.1048269 schema:issn 0257-0130
88 1572-9443
89 schema:name Queueing Systems
90 rdf:type schema:Periodical
91 sg:person.014712555662.34 schema:affiliation https://www.grid.ac/institutes/grid.6451.6
92 schema:familyName Granovsky
93 schema:givenName Boris L.
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014712555662.34
95 rdf:type schema:Person
96 sg:person.016403133727.49 schema:affiliation https://www.grid.ac/institutes/grid.445062.1
97 schema:familyName Zeifman
98 schema:givenName A.
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016403133727.49
100 rdf:type schema:Person
101 sg:pub.10.1007/bf01148939 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000416243
102 https://doi.org/10.1007/bf01148939
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/bf02106789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042967296
105 https://doi.org/10.1007/bf02106789
106 rdf:type schema:CreativeWork
107 sg:pub.10.1007/bf02432876 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013243703
108 https://doi.org/10.1007/bf02432876
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/bf02673717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027203042
111 https://doi.org/10.1007/bf02673717
112 rdf:type schema:CreativeWork
113 sg:pub.10.1023/a:1016551122838 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031558244
114 https://doi.org/10.1023/a:1016551122838
115 rdf:type schema:CreativeWork
116 sg:pub.10.1023/a:1019157019655 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047886343
117 https://doi.org/10.1023/a:1019157019655
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1002/1526-4025(200010/12)16:4<235::aid-asmb415>3.0.co;2-s schema:sameAs https://app.dimensions.ai/details/publication/pub.1003266283
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/0167-6377(90)90041-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008276228
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/0304-4149(94)90123-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028511523
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/0304-4149(95)00028-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029653681
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/s0304-4149(97)00037-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039011559
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/s0304-4149(97)00085-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041401865
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1017/s0001867800015214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001136711
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1017/s0001867800017523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036095012
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1017/s0021900200016107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043652357
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1017/s0021900200017307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020769840
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1017/s0021900200017940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008366971
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1017/s0021900200018611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033880740
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1017/s0021900200018854 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036968014
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1017/s0021900200024451 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032888222
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1017/s0021900200036792 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027970555
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1017/s002190020003967x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001600581
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1017/s0021900200043679 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021703534
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1017/s0021900200098156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003131226
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1017/s0021900200103080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001113512
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1137/1024098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062861778
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1214/aoap/1034968224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064397733
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1214/aoap/1177004901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064397936
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1214/aoap/1177004908 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064397943
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1214/aoap/1177005981 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064398131
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1287/mnsc.25.6.522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064719207
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1287/moor.10.2.305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064722685
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1287/moor.20.1.33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064723732
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1287/opre.16.1.64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064727211
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1287/opre.39.3.502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064730235
176 rdf:type schema:CreativeWork
177 https://www.grid.ac/institutes/grid.445062.1 schema:alternateName Vologda State Pedagogical University
178 schema:name Vologda Science Coordination Centre CEMI RAS, Vologda State Pedagogical University, and, Vologda, Russia
179 rdf:type schema:Organization
180 https://www.grid.ac/institutes/grid.6451.6 schema:alternateName Technion – Israel Institute of Technology
181 schema:name Department of Mathematics, Technion-Israel Institute of Technology, 32000, Haifa, Israel
182 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...