Abstract

Many practical problems occur when we wish to manipulate the data in a way that requires information not included explicitly in this data, and where we have to deal with functions of such a nature. In a networked environment, the data may reside in components on a number of geographically distributed sites. These databases cannot be moved to other network sites due to security, size, and privacy consideration. In this paper, we present two self-decomposing algorithms for constructing a function from given discrete data, and finding the extrema of any function whose arguments are stored across a number of distributed databases.

Keywords

MSC

68U99

Cite this article

@article{cai-19157,
  author  = {Ahmed M. Khedr and Rania Mahmoud},
  title   = {Agents for Integrating Distributed Data for Function Computations},
  journal = {Computing and Informatics},
  volume  = {31},
  number  = {5},
  pages   = {1101--1125},
  year    = {2012},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2012/5/agents-for-integrating-distributed-data-for-function-computations/}
}
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