SYSTEMS AND METHODS FOR GENERATING INTERPOLATED DATA SETS CONVERGING TO OPTIMIZED RESULTS USING ITERATIVE OVERLAPPING INPUTS

摘要

Embodiments relate to systems and methods for generating interpolated data sets converging to optimized results using iterative overlapping inputs. A database can store sets of operational data, such as financial, medical, climate or other information. For given data, a portion of the input data can be known or predetermined, while for a second portion can be unknown and subject to interpolation. The interpolation engine can generate a conformal interpolation function and interpolated input sets that map to a set of target output data. In aspects, to attempt to drive the set of interpolated input data and/or other results to an optimized and/or steady-state value or values, the interpolation engine can generate a set of shifts or alterations to the set of combined input data as that data exists, to create a set of iterative overlapping input data. That iterative overlapping data can be used to execute successive interpolation runs, and determine whether the interpolation results converge to a set of steady-state and/or optimized results. When convergence is detected, the interpolation results can be assumed to represent optimized, steady-state, and/or best-available values for the conditions of the original combined input data.