Abstract: This work evaluates the performance of several polynomial interpolation techniques applied to the Shamir Secret Sharing (SSS) scheme, considering seven methods: Lagrange, Newton, Neville, ...

Abstract: Inspired by image-to-image translation, we applied deep learning (DL) to regularly missing data reconstruction, aimed at translating incomplete data into their corresponding complete data.

Minterpy is an open-source Python package designed for constructing and manipulating multivariate interpolating polynomials with the goal of addressing the curse of dimensionality from interpolation ...

The behavior of many engineering structures, excited from external stresses, is governed by differential equations. We can solve most of these differential equations analytically as long as we ...

Nowadays, the deep learning methods are widely applied to analyze and predict the trend of various disaster events and offer the alternatives to make the appropriate decisions. These support the water ...

This C++ header library features tools for piecewise linear and cubic interpolation of rectangular grid data in N dimensions. For cubic piecewise interpolation, the library features three types: ...

Underwater gliders have become widely used in the last decade. This has led to a proliferation of data and the concomitant development of tools to process the data. These tools are focused primarily ...