Gaussian Interpolation Techniques

• Gaussian Interpolation is a mathematical method that uses Gaussian kernels to estimate intermediate values with high accuracy and smoothness.
• It is widely applied in geostatistics, image processing, and machine learning for tasks such as data smoothing and reconstruction.
• Recent research emphasizes optimizing radial basis function formulations and sparse grid techniques to improve computational efficiency.

Searching arXiv for recent and foundational papers on Gaussian interpolation and related formulations. arXiv search query: "Gaussian interpolation radial basis function Gaussian process interpolation sparse grid"