Sequential Quadratic Programming Method for Nonlinear Least Squares Estimation and Its Application

Table 1

Estimated values by sequential quadratic programming, least squares, and the ridge estimate.

	True value	Least squares; method	Ridge method	Sequential quadratic programming method
	1	2.8552	0.8654	1.2205
	1	-1.3035	1.3872	1.2598
	1	1.2584	0.8283	1.1896
	1	2.3954	0.5180	0.9064
	1	-1.9306	1.1375	1.1034
RMSE		1.9672	0.2996	0.1852
The standard deviation		4.3989	0.6699	0.4141