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Frontiers in Algorithmics [[electronic resource] ] : 13th International Workshop, FAW 2019, Sanya, China, April 29 – May 3, 2019, Proceedings / / edited by Yijia Chen, Xiaotie Deng, Mei Lu
Frontiers in Algorithmics [[electronic resource] ] : 13th International Workshop, FAW 2019, Sanya, China, April 29 – May 3, 2019, Proceedings / / edited by Yijia Chen, Xiaotie Deng, Mei Lu
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 183 p. 83 illus., 19 illus. in color.)
Disciplina 005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer science—Mathematics
Discrete mathematics
Numerical analysis
Artificial intelligence—Data processing
Computer networks
Artificial intelligence
Discrete Mathematics in Computer Science
Numerical Analysis
Data Science
Computer Communication Networks
Artificial Intelligence
ISBN 3-030-18126-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Polynomial Time Algorithm for Fair Resource Allocation in Resource Exchange -- A Local Search 4=3-Approximation Algorithm for the Minimum 3-Path Partition Problem -- Efficient Guarding of Polygons and Terrains -- Graph Orientation with Edge Modifications -- Local Coloring: New Observations and New Reductions -- Secure Computation of Any Boolean Function Based on Any Deck of Cards -- A Novel Business Model for Electric Car Sharing -- Constructing Three Completely Independent Spanning Trees in Locally Twisted Cubes- Read-Once Resolutions in Horn Formulas -- Vertex-Critical (P5 ,banner)-Free Graphs -- An FPTAS for Stochastic Unbounded Min-Knapsack Problem -- The Inapproximability of k-DominatingSet for Parameterized AC0 Circuits -- Mutual Visibility by Robots with Persistent Memory -- Pushing the Online Matrix-vector Conjecture Off-line and Identifying Its Easy Cases -- An Improved Approximation Algorithm for the k-Means Problem with Penalties. .
Record Nr. UNISA-996466303103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Frontiers in Algorithmics : 13th International Workshop, FAW 2019, Sanya, China, April 29 – May 3, 2019, Proceedings / / edited by Yijia Chen, Xiaotie Deng, Mei Lu
Frontiers in Algorithmics : 13th International Workshop, FAW 2019, Sanya, China, April 29 – May 3, 2019, Proceedings / / edited by Yijia Chen, Xiaotie Deng, Mei Lu
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 183 p. 83 illus., 19 illus. in color.)
Disciplina 005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer science—Mathematics
Discrete mathematics
Numerical analysis
Artificial intelligence—Data processing
Computer networks
Artificial intelligence
Discrete Mathematics in Computer Science
Numerical Analysis
Data Science
Computer Communication Networks
Artificial Intelligence
ISBN 3-030-18126-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Polynomial Time Algorithm for Fair Resource Allocation in Resource Exchange -- A Local Search 4=3-Approximation Algorithm for the Minimum 3-Path Partition Problem -- Efficient Guarding of Polygons and Terrains -- Graph Orientation with Edge Modifications -- Local Coloring: New Observations and New Reductions -- Secure Computation of Any Boolean Function Based on Any Deck of Cards -- A Novel Business Model for Electric Car Sharing -- Constructing Three Completely Independent Spanning Trees in Locally Twisted Cubes- Read-Once Resolutions in Horn Formulas -- Vertex-Critical (P5 ,banner)-Free Graphs -- An FPTAS for Stochastic Unbounded Min-Knapsack Problem -- The Inapproximability of k-DominatingSet for Parameterized AC0 Circuits -- Mutual Visibility by Robots with Persistent Memory -- Pushing the Online Matrix-vector Conjecture Off-line and Identifying Its Easy Cases -- An Improved Approximation Algorithm for the k-Means Problem with Penalties. .
Record Nr. UNINA-9910337854103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui