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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Ravi, S. S. (Επιμελητής έκδοσης), Shukla, Sandeep K. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands, 2009.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.