Maximum Flow through a Network: A Storied Problem and a Groundbreaking Solution.

The article provides a perspective on the use of algorithms in maintaining maximum flow through computing networks. Offers a critique of various max-flow theorems and algorithms. Discusses prior research into max-flow applications. Mentions the hope for future breakthroughs in developing scalable ma...

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Publicado en:Communications of the ACM Vol. 66; no. 12; pp. 84 - 85
Autor principal: Shang-Hua Teng
Formato: Artículo
Publicado: Association for Computing Machinery Dec2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Maximum Flow through a Network: A Storied Problem and a Groundbreaking Solution.
      aug:
        au: Shang-Hua Teng
        affil: The Seeley G. Mudd Professor of Computer Science and Mathematics at the University of Southern California
      su:
        Algorithms
        Computer networks
        Computer science
        Data flow computing
        Big data
        Information science
        Information storage & retrieval systems
      sug:
        subj:
          Algorithms
          Computer networks
          Computer science
          Data flow computing
          Big data
          Information science
          Information storage & retrieval systems
      ab: The article provides a perspective on the use of algorithms in maintaining maximum flow through computing networks. Offers a critique of various max-flow theorems and algorithms. Discusses prior research into max-flow applications. Mentions the hope for future breakthroughs in developing scalable max-flow algorithms.
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
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