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 ...

The popular, stable, robust, and computationally inexpensive cubic spline interpolation algorithm is adopted and used for finite temperature Green’s function calculations of realistic systems. We ...

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 ...

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.

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, ...

ABSTRACT: There is no agreed-upon method used to construct yield curves at the Nairobi Securities Exchange. The existing practice is that each financial company uses in-house methods to construct the ...