The nonlinear least square adjustment is a head object studied in technology fields. The paper studies on the non derivative solution to the nonlinear dynamic least square adjustment and puts forward a new algorithm m...The nonlinear least square adjustment is a head object studied in technology fields. The paper studies on the non derivative solution to the nonlinear dynamic least square adjustment and puts forward a new algorithm model and its solution model. The method has little calculation load and is simple. This opens up a theoretical method to solve the linear dynamic least square adjustment.展开更多
This paper presents a new class of quasi-Newton methods for solving unconstrained minimization problems. The methods can be regarded as a generalization of Huang class of quasi-Newton methods. We prove that the direct...This paper presents a new class of quasi-Newton methods for solving unconstrained minimization problems. The methods can be regarded as a generalization of Huang class of quasi-Newton methods. We prove that the directions and the iterations generated by the methods of the new class depend only on the parameter p if the exact line searches are made in each steps.展开更多
文摘The nonlinear least square adjustment is a head object studied in technology fields. The paper studies on the non derivative solution to the nonlinear dynamic least square adjustment and puts forward a new algorithm model and its solution model. The method has little calculation load and is simple. This opens up a theoretical method to solve the linear dynamic least square adjustment.
文摘This paper presents a new class of quasi-Newton methods for solving unconstrained minimization problems. The methods can be regarded as a generalization of Huang class of quasi-Newton methods. We prove that the directions and the iterations generated by the methods of the new class depend only on the parameter p if the exact line searches are made in each steps.
