数据拟合线性最小二乘法及其应用(householder变换)
ABSTRACT
This thesis introduces the basic principle of the least square data fitting. According to the least square data fitting ,the paper studies and analyzes the linear least square fitting using the Householder matrix transformations and QR decompositions of the matrix. Using Matlab makes the theory of data fitting easier to be understood. The method of operation and compose of Matlab is quite easy and the result is accurate. It is very convenient for solving practical problems.
Key Words:data fitting least square method householder transformation application