An Efficient and Regularized Modeling Method for Massive Scattered Data Combining Triangulated Irregular Network and Multiquadric Function

An Efficient and Regularized Modeling Method for Massive Scattered Data Combining Triangulated Irregular Network and Multiquadric Function

Spatial discrete data modeling plays a crucial role in geoscientific data analysis, with accuracy and efficiency being significant factors to consider in the modeling of massive discrete datasets. In this paper, an efficient and regularized modeling method, TIN-MQ, which integrates a triangulated ir...

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Bibliographic Details
Main Authors: Haifei Liu, Yuhao Zhang, Xin Liu, Ijaz Ahmed, Jianxin Liu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
triangulated irregular network
multiquadric function
massive scattered data
stable modeling
Online Access:https://www.mdpi.com/2227-7390/13/6/978
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