A New Ridge Estimation Algorithm for Nonlinear Inequality Constrained Adjustment
Abstract This paper uses the a priori information to constrain the parameters, establishes a nonlinear inequality constrained adjustment model, and proposes a new ridge estimation algorithm for solving this adjustment model. The computational results of the two ill-posed examples in this paper show that the new ridge estimation algorithm is feasible, and the accuracy of the calculation results is higher than that of ordinary ridge estimation.
Key words :
ill-posed problem
prior information
nonlinear
ridge estimation
double diagonalization
Cite this article:
LI Wenna,SONG Yingchun,DENG Wei et al. A New Ridge Estimation Algorithm for Nonlinear Inequality Constrained Adjustment[J]. jgg, 2022, 42(5): 494-498.
LI Wenna,SONG Yingchun,DENG Wei et al. A New Ridge Estimation Algorithm for Nonlinear Inequality Constrained Adjustment[J]. jgg, 2022, 42(5): 494-498.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2022/V42/I5/494
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