摘要
将线性规划与地质统计学中常用的普通克里格法、泛克里格法、协同克里格法以及协同泛克里格法相结合,提出了相应的普通克正里格法、泛正克里格法、协同正克里格法以及协同泛正克里格法的线性规划算法。采用本文所提方法求出的各种正克里格法非负权值相对最优,求解简单快捷。该原理也可方便地用于建立其他克里格法的正克里格算法,如指示克里格法等。
The linear programming algorithms for the positive ordinary kriging,positive universal kriging,positive cokriging and positive universal cokriging were proposed combining the linear programming with their original linear equations in geostatistics,in order to determine the non-negative weights. Compared with other algorithms of positive kriging,merits of the linear programming in this paper were the comparatively optimal non-negative for weights,simple in methods and rapid in computation. The algorithm given here can also be developed to the other krigings such as the indicator kriging to establish its positive kriging.
作者
樊晓梅
胡小荣
FAN Xiaomei HU Xiaorong(School of Resources and Civil Engineering, Liaoning Institute of Science and Technology, Benxi 117004, China School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China)
出处
《南昌大学学报（工科版）》
CAS
2016年第3期261-266,271,共7页
Journal of Nanchang University(Engineering & Technology)
基金
国家自然科学基金资助项目(11362016)
江西省自然科学基金资助项目(20151BAB202001)
关键词
正克里格法
线性规划算法
估值权值非负
positive kriging
linear programming algorithm
non-negative weight
