수치해석 curve fitting

소개글

오른쪽 상단에 등록자 정보 사진을 누르시고 들어오시면 많은 레포트를 볼 수 있습니다.

꼭 평가 해주세요..^^

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본문내용

1. Abstract
Date is often given for discrete values along a continuum. But you may require estimates at points between the discrete values. This report describes techniques to fit curves to such date to obtain intermediate estimates. That is curve fitting.

2. Introduction
There are two tape of curve fitting interpolation and least squares regression. Where substantial error is associated with date, polynomial interpolation is inappropriate and may yield unsatisfactory results when used to predict intermediate valves. Experimental date is often of this type. a more appropriate strategy for such cases is to derive an approximating function that fits the shape or general trend of the date without necessarily matching the individual points.

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참고 자료

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