8 citations · 24 across the 10 of their papers we have counts for
4 papers · 1 filter
Preconditioned geometric iterative methods for cubic B-spline interpolation curves
Chengzhi Liu, Yue Qiu, Li Zhang
The geometric iterative method (GIM) is widely used in data interpolation/fitting, but its slow convergence affects the computational efficiency. Recently, much work was done to gu…
Randomized progressive iterative approximation for B-spline curve and surface fittings
Nian-Ci Wu, Chengzhi Liu
For large-scale data fitting, the least-squares progressive iterative approximation is a widely used method in many applied domains because of its intuitive geometric meaning and e…
Asynchronous progressive iterative approximation method for least-squares fitting
Nian-Ci Wu, Cheng-Zhi Liu
For large-scale data fitting, the least-squares progressive-iterative approximation (LSPIA) methods were proposed by Lin et al. (SIAM Journal on Scientific Computing, 2013, 35(6):A…
On the extended randomized multiple row method for solving linear least-squares problems
Nian-Ci Wu, Chengzhi Liu, Yatian Wang +1
The randomized row method is a popular representative of the iterative algorithm because of its efficiency in solving the overdetermined and consistent systems of linear equations.…