JOURNAL ARTICLE

P-Least Squares Method of Curve Fitting

Le Min Gu

Year: 2013 Journal:   Advanced materials research Vol: 699 Pages: 885-892   Publisher: Trans Tech Publications

Abstract

P-Least Squares (P-LS) method is Least Squares (LS) method promotion, based on the criteria of error -squares minimal to select parameter , namely satisfies following constitute the curve-fitting method. Due to the arbitrariness of the number , P-LS method has a wide field of application, when , P-LS approximation translated Chebyshev optimal approximation. This paper discusses the general principles of P-LS method; provides a way to realize the general solution of P-LS approximation. P-Least Squares method not only has significantly reduces the maximum error, also has solved the problems of Chebyshev approximation non-solution in some complex non-linear approximations,and also has the computation conveniently, can carry on the large-scale multi-data processing ability. This method is introduced by some examples unified in the materials science, the chemical engineering and the life body change.

Keywords:
Least-squares function approximation Mathematics Chebyshev filter Curve fitting Applied mathematics Computation Approximation error Approximation theory Mathematical optimization Algorithm Mathematical analysis Statistics

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Topics

Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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