径向基函数（RBF）逼近与计算的成果、挑战及新进展
Results, challenges and new steps on RBF approximation and computation
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中文总结 AI 辅助
该综述聚焦受多领域关注的径向基函数（RBF）技术，梳理其逼近方法的相关成果，明确了高性能或并行计算场景下需解决的计算挑战与稳定性问题。
中文摘要 AI 辅助
我们提供了基于径向基函数（RBF）技术的逼近方法的最新综述，该技术近来在各类计算工具及应用领域受到关注。本综述呈现了RBF技术的相关成果，着重指出了高性能或并行计算时必须解决的相关计算挑战与稳定性问题。
英文摘要
We present an up-to-date overview of approximation methods based on Radial Basis Function (RBF) techniques, which have recently attracted attention across various computational tools and application fields. This review study presents relevant results on RBF techniques, highlighting the associated computational challenges and stability issues that must be addressed when high-performance or parallel computation is required.
