4-Least Squares

1、Normal Equation

2、Fitting data by least squares

2.1 General linear least square. 2.2 Least square fit polynomial

3、Data linearization.

3.1 Exponential mdoel

4、Gram-Schmidt orthogonization. 格莱姆-施密特正交化

5、QR factorization. 1. QR factorization by applying Gram-Schmidt orthogonalization

2) Apply Householder reflectors to find the full QR factorization

3)Use the QR factorization from Exercise 2, 4, or 6 to solve the least squares problem

7、Nonlinear Least Squares