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@ARTICLE{Gugat:988852,
      author       = {Gugat, Martin and Herty, Michael and Liu, Jiehong and
                      Segala, Chiara},
      title        = {{T}he turnpike property for high‐dimensional interacting
                      agent systems in discrete time},
      journal      = {Optimal control, applications and methods},
      volume       = {45},
      number       = {6},
      issn         = {1099-1514},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley},
      reportid     = {RWTH-2024-06443},
      pages        = {2557-2571},
      year         = {2024},
      cin          = {114610 / 110000},
      ddc          = {620},
      cid          = {$I:(DE-82)114620_20140620$ / $I:(DE-82)110000_20140620$},
      pnm          = {OAPKF - Open-Access-Publikation mit Unterstützung der RWTH
                      Aachen University (021000-OAPKF) / DFG project 442047500 -
                      SFB 1481: Sparsity und singuläre Strukturen (442047500) /
                      SFB 1481 B04 - Sparsity fördernde Muster in kinetischen
                      Hierarchien (B04) (504291427) / SFB 1481 B05 -
                      Sparsifizierung zeitabhängiger Netzwerkflußprobleme
                      mittels diskreter Optimierung (B05) (504292598) / DFG
                      project 441826958 - SPP 2298: Theoretische Grundlagen von
                      Deep Learning (441826958) / DFG project 462234017 -
                      Meanfield Theorie zur Analysis von Deep Learning Methoden
                      (462234017) / DFG project 239904186 - TRR 154: Mathematische
                      Modellierung, Simulation und Optimierung am Beispiel von
                      Gasnetzwerken (239904186) / DFG project 259134245 - Nodale
                      Steuerung und das Turnpike Phänomen (C03) (259134245) / DFG
                      project 437855596 - Beobachter-basierte Datenassimilation
                      bei zeitabhängigen Strömungen in Gasnetzen (C05)
                      (437855596) / DATAHYKING - Data-driven simulation,
                      uncertainty quantification and optimization for hyperbolic
                      and kinetic models (101072546)},
      pid          = {G:(DE-82)021000-OAPKF / G:(GEPRIS)442047500 /
                      G:(GEPRIS)504291427 / G:(GEPRIS)504292598 /
                      G:(GEPRIS)441826958 / G:(GEPRIS)462234017 /
                      G:(GEPRIS)239904186 / G:(GEPRIS)259134245 /
                      G:(GEPRIS)437855596 / G:(EU-Grant)101072546},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001260068400001},
      doi          = {10.1002/oca.3172},
      url          = {https://publications.rwth-aachen.de/record/988852},
}