Abstract We propose a new method to determine solution and precision evaluation of the inequality constrained partial errors-in-variables(Partial EIV) model. Under the total least square rule, the inequality constrained Partial EIV model is converted to standard optimization problems. Using the WHP(Wilson-Han-Powell) quasi Newton correction sequential quadratic programming(SQP) to solve the problem, the SUT method is used to evaluate the accuracy of parameter estimation. Simulation results show that this method can reduce iterations and increase convergence rate, the precision evaluation is simple and effective.
WANG Leyang,ZOU Chuanyi,WU Lulu. The WHP Quasi Newton Correction Method for Inequality Constrained Partial EIV Model and the SUT Method for Its Precision Estimation[J]. jgg, 2019, 39(6): 648-653.
WANG Leyang,ZOU Chuanyi,WU Lulu. The WHP Quasi Newton Correction Method for Inequality Constrained Partial EIV Model and the SUT Method for Its Precision Estimation[J]. jgg, 2019, 39(6): 648-653.