As the CBSE Class 10 Maths board exam approaches, students must focus on key topics and practise official sample papers to ...

As we head into Christmas season in Kerala, the LDF sends out a message that it will not allowing any blocking of Christmas celebrations by the Sangh Parivar. Does the BJPs rise change minority voter ...

In this paper, we describe a new primal-dual path-following method to solve a convex quadratic program (QP). The derived algorithm is based on new techniques for finding a new class of search ...

Abstract: Robust matrix completion refers to recovering a low-rank matrix given a subset of the entries corrupted by gross errors, and has various applications since many real-world signals can be ...

1 Institute of Data Science and Engineering, Xuzhou University of Technology, Xuzhou, China 2 School of Mathematics and Statistics, Huaibei Normal University, Huaibei, China This study introduces a ...

Are you struggling to solve quadratic equations? Look no further than the “Almighty Formula,” a powerful mathematical tool that can crack even the toughest quadratic puzzles. In this article, you will ...

Abstract: Matrix factorization is a popular framework for modeling low-rank data matrices. Motivated by manifold learning problems, this paper proposes a quadratic matrix factorization (QMF) framework ...

This category is the most suitable due to QuadratiK's clustering technique, specifically designed for spherical data. The package's clustering algorithm falls within the realm of unsupervised learning ...