alexa New Square Method | OMICS International | Abstract
ISSN: 2168-9679

Journal of Applied & Computational Mathematics
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Short Communication

New Square Method

Yan Ping Wang*

AiHua Computer Studio, Beijing University of Chemical, Fangshan District, Beijing, China

*Corresponding Author:
Wang YP
AiHua Computer Studi
Beijing University of Chemical
Fangshan District, Beijing, China
Tel: 110402430060
E-mail: [email protected]

Received date: May 26, 2016; Accepted date: February 21, 2017; Published date: February 28, 2017

Citation: Wang YP (2017) New Square Method. J Appl Computat Math 6:342. doi: 10.4172/2168-9679.1000342

Copyright: © 2017 Wang YP. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The “new square method” is an improved approach based on the “least square method”. It calculates not only the constants and coefficients but also the variables’ power values in a model in the course of data regression calculations, thus bringing about a simpler and more accurate calculation for non-linear data regression processes.

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