ABSTRACT: Truncated singular value decomposition (TSVD) and Golub-Kahan diagonalization are two elementary techniques for solving a least squares problem from a linear discrete ill-posed problems. For ...

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Abstract: Magnetic induction tomography (MIT) is a non-contact, low-cost electromagnetic imaging technique with broad applications in industrial monitoring, biomedical imaging, and non-destructive ...

Victoria Gibbon receives funding from National Research Foundation of South Africa. She is affiliated with The University of Cape Town. Devin Alexander Finaughty receives funding from the Oppenheimer ...

Hey there! I'm Aayush Khanna from Noida, Uttar Pradesh, India. I am a third year undergrad pursuing civil engineering at the Indian institute of Technology (BHU), Varanasi. I am interested in all ...

MicroAlgo Inc. (NASDAQ:MLGO) stock has recorded a 3% increase in pre-market after the company’s recent developments in quantum algorithms. What Happened: On Thursday, MicroAlgo, a company focused on ...

Turbulence in nature refers to the complex, time-dependent, and spatially varying fluctuations that develop in fluids such as water, air, and plasma. It is a universal phenomenon that appears across a ...

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...

Abstract: As a sparse-based direction of arrival (DOA) estimation algorithm, the L1-singular value decomposition (SVD) algorithm is widely used to measure the orientation of targets. In real ...

Welcome to the nlp-2.1-matrix-decomposition repository! This project provides a collection of algorithms for matrix decomposition, a fundamental concept in linear algebra. Whether you're working on ...