Previous approaches for computing the supremum norm in this degenerate case, have proven to be unsafe, not sufficiently tight or too tedious in manual work.We present a safe and fast algorithm that ...

The design and computation of energy efficient approximate adder play a crucial role in VLSI. With recent research focusing on approximate computation in digital circuits, there is a growing method to ...

Task 1: Sine and Cosine Approximation In this task, the sine and cosine functions are approximated using Taylor series expansions. The goal is to compare the original functions with their ...

Structured Low-Rank Approximation: A process of approximating a matrix by another matrix of lower rank while preserving predefined structural properties, such as Hankel or Toeplitz formations.

1 Warwick Mathematics Institute, The University of Warwick, Coventry, United Kingdom 2 School of Computer and Information Engineering, Luoyang Institute of Science and Technology, Luoyang, China To ...

Abstract.In this note we consider the problem of localization and approximation of eigenvalues of operators on infinite dimensional Banach and Hilbert spaces. This problem has been studied for ...

This paper is devoted to the mathematical definition of the extrapolation length which appears in the diffusion approximation. To obtain this result, we describe the spectral properties of the ...

The quantum computing revolution draws ever nearer, but the need for a computer that makes correctable errors continues to hold it back.