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Fundamental Problems in Computing Essays in Honor of Professor Daniel J. Rosenkrantz /

Fundamental Problems in Computing is in honor of Professor Daniel J. Rosenkrantz, a distinguished researcher in Computer Science. Professor Rosenkrantz has made seminal contributions to many subareas of Computer Science including formal languages and compilers, automata theory, algorithms, database...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ravi, Sekharipuram S. (Editor ), Shukla, Sandeep Kumar (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Selected Reprints from Professor Rosenkrantz's Seminal Contributions
  • Matrix Equations and Normal Forms for Context-Free Grammars
  • Attributed Translations
  • An analysis of several heuristics for the traveling salesman problem
  • System Level Concurrency Control for Distributed Database Systems
  • Consistency and serializability in concurrent database systems
  • An efficient method for representing and transmitting message patterns on multiprocessor interconnection networks
  • Representability of Design Objects by Ancestor-Controlled Hierarchical Specifications
  • The Complexity of Processing Hierarchical Specifications
  • Approximation Algorithms for Degree-Constrained Minimum-Cost Network-Design Problems
  • Efficient Algorithms for Segmentation of Item-Set Time Series
  • Contributed Articles
  • Sums-of-Products and Subproblem Independence
  • An Optimistic Concurrency Control Protocol for Replicated Databases
  • SNAPSHOT Isolation: Why Do Some People Call it SERIALIZABLE?
  • A Richer Understanding of the Complexity of Election Systems
  • Fully Dynamic Bin Packing
  • Online Job Admission
  • A Survey of Graph Algorithms Under Extended Streaming Models of Computation
  • Interactions among human behavior, social networks, and societal infrastructures: A Case Study in Computational Epidemiology.