Abstract

Techniques for generalized data management are gradually making inroads in scientific computing in general and computerized engineering analysis in particular. This development parallels in many ways the rapid acceptance of the centralized database concept in business-oriented processing during the 1970s. Scientific database manipulation systems face, however, a specialized environment with its own set of operational requirements. The first part of this three-part paper reviews general features of scientific data management from a functional standpoint. Special emphasis is given to the discussion of trends in the development of large-scale programs, as well as to the assembly of database-linked program networks for engineering analysis.

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