Fitting scattered data with optional monotonicity constraints on GPU: LipFit package
Researchers have developed a new method for multivariate scattered data interpolation and approximation that can enforce monotonicity constraints. This approach, implemented in a Python package called LipFit, is designed for efficient GPU parallelization and offers an instance-based approximation without a traditional training phase. The method aims to provide optimal Lipschitz-continuous approximations that avoid discontinuities. AI