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Abstract

Embodiments relate to systems and methods for filtering interpolated input data based on user-supplied or other approximation constraints. A database management system can store operational data, such as financial, medical, or other information. A user can access a set of target data, representing an output desired to be generated from an interpolated set of input data. Thus, the average air temperature of a region may be known for ten years, along with other inputs including water temperature, wind speed, and other data. The interpolation engine can receive a target temperature for the current year, and generate water temperatures, wind speeds, or other inputs that will produce the target temperature. The engine can also receive sets of approximation constraints supplied by a user, application, and/or other source to apply to the interpolated input values, and force those values to conform to an additional layer of desired criteria or constraints.

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First Claim