Abstract: The implicitly restarted Arnoldi method (IRAM), which relies on Krylov subspace iteration, is an effective approach for extracting desired partial eigenpairs in characteristic mode analysis ...

This camper was able to pass the tests but their algorithm didn't perform a swap of the smallest element and the first unsorted element. def selection_sort(items ...

Numerical linear algebra for quaternions — fast, practical, and well‑tested. QuatIca was inspired by the pioneering work in quaternion linear algebra, particularly the QTFM (Quaternion Toolbox for ...

Spotware, the developer of the cTrader multi-asset trading platform has launched an essential update with the introduction of cTrader Windows version 5.4, native Python, supporting algorithmic trading ...

Gregg is professor of neurobiology and human genetics at the University of Utah. In 2018, I waited until after Christmas to inform my 10- and 12-year-old children that I had metastatic male breast ...

Computing the polar decomposition and the related matrix sign function has been a well-studied problem in numerical analysis for decades. Recently, it has emerged as an important subroutine within the ...

Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately ...

ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...

Explore four antenna calibration stories from phased-array algorithms to mmWave breakthroughs to OTA testing that are sure to delight you. Antenna calibration, according to our friends at A.H. Systems ...