New Open Source, Community Edition of the SheafSystem™ Library Released by Limit Point Systems

LIVERMORE, Calif., Sept. 24, 2013 /PRNewswire/ -- Limit Point Systems (www.limitpoint.com) today announced the immediate availability of a new open source release of its SheafSystem™.

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The SheafSystem™ libraries implement the sheaf data model, a non-relational data model designed for representation, manipulation, and storage of the large and complex data sets common in scientific and technical computing. These data sets represent the topological, geometric, and algebraic information required by mathematics-based scientific and technical computing applications. They are much more structured than the  "unstructured" data that is the focus of  the "noSQL" category of non-relational data management technologies and also more structured than the tables of the relational model. The SheafSystem™ uses advanced mathematics - posets, lattices, sheaves, and fiber bundles - to revolutionize data management for this highly structured region of the data complexity spectrum.

"We have implemented the sheaf data model as a layered set of C++ class libraries with bindings for Java, Python, and C#.  These libraries allow an application programmer  to easily create, manipulate, store, retrieve, and inter-operate diverse representations of physical data - whether it comes from observations, experiments, or simulations."

"We anticipate that members of the technical computing community will find this system very useful for representing and managing data in a broad range of scientific and engineering disciplines. It should be especially valuable in domains such as geoscience that require the integration and interoperation of numerous data formats," said Dr. David M. Butler, CEO of Limit Point Systems.

"The scientific computing community has a long tradition of using and contributing to open source software. By providing an open source edition of the SheafSystem, we hope to make its benefits available to the widest possible spectrum of users. We also hope contributions from the large number of expert developers in the community will help the system realize its potential to revolutionize data management in scientific computing."

About Limit Point Systems:

Limit Point Systems (http://www.limitpoint.com) specializes in integrating scientific computing into industrial and enterprise work flows. We excel in delivering a broad array of advanced software solutions to help manage observational, experimental, and simulation data associated with scientific and mathematical analysis of products and processes, especially those with complex spatial structure and discontinuous properties. Limit Point Systems couples scientific training with over 25 years of experience in non-relational database applications and data representations useful for interpretation, analysis, and visualization of scientific and other technical data.

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