Method for adaptive sampling for building accurate computer mode

Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression

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G06F 9455

Patent

active

060631279

ABSTRACT:
A method of adaptive sampling for accurate computer model building. The present invention is used in conjunction with a computer system to build models of responses, functions, and the like, that produce a given output for a given input(s). One embodiment in accordance with the present invention includes a computer system, software instructions, and a function to be modeled. The present embodiment directs the computer system to generate a set of equidistant data points for the function based on an input value. The present embodiment directs the computer to use a modeling curve to generate a set of prediction data points based on the odd positioned data points of the equidistant data points. The present embodiment directs the computer to determine whether the locations of the predicted data points satisfy a predetermined convergence criterion with respect to the determined locations of the even positioned data points of the equidistant data points. If the convergence criterion is not satisfied, the input value is increased and the present embodiment directs the computer to repeat the above process. A computer modeling process in accordance with the present invention improves the efficiency of building computer models by enabling a computer to model a function, and the like, using as few data points as possible. Furthermore, the present invention enables a computer user to determine the convergence criterion that must be satisfied before the computer stops modeling the desired function. Therefore, the present invention enables computers to model responses efficiently while accurately modeling them.

REFERENCES:
patent: 5062066 (1991-10-01), Scher et al.
patent: 5136497 (1992-08-01), Coe et al.

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