Abstract: Lagrange interpolation is widely used in signal processing; however, high-order interpolation is affected by Runge phenomenon and the inflexible basis function construction. In this paper, ...

Fractal interpolation functions (FIFs) arise from the marriage of classical interpolation and fractal geometry, yielding curves that exactly pass through prescribed data points while exhibiting ...

Interpolation theory provides a systematic means of constructing intermediate spaces between two given function spaces, capturing properties such as smoothness, integrability and decay in a single ...

Sparse-view tomography has many applications such as in low-dose computed tomography (CT). Using under-sampled data, a perfect image is not expected. The goal of this paper is to obtain a tomographic ...

Method Description for Interpolation in Python: In Python, one of the most common methods for interpolation is using the SciPy library. This library provides a comprehensive set of functions and tools ...

The study of finite-dimensional linear systems is well developed. As an infinite-dimensional counter part of finite-dimensional linear systems, one can view integral equations as extensions of linear ...

Allow interpolation between both viewport and element breakpoints. The problems with clamp(), min(), and max() is that you can only interpolate length values on a single property between two points.