Linear algebra forms the mathematical backbone of data science and machine learning algorithms. This comprehensive tutorial covers essential linear algebra concepts, from basic matrix operations to ...

Abstract: Numerical linear algebra operations are key primitives in scientific computing. Performance optimizations of such operations have been extensively investigated. With the rapid advances in ...

Abstract: Sparse matrices are widely applicable in data analysis while the theory of matrix processing is well-established. There are a wide range of algorithms for basic operations such as ...

ABSTRACT: In an earlier paper published in the Journal of Natural Sciences Research in 2015 on how to balance chemical equations using matrix algebra, Gabriel and Onwuka showed how to reduce the ...

Dan Herbatschek, CEO of Ramsey Theory Group and its subsidiary Erdos Technologies, today announced a groundbreaking initiative to cultivate the next wave of artificial intelligence innovators by ...

ABSTRACT: In this paper, a series of bicomplex representation methods of quaternion division algebra is introduced. We present a new multiplication concept of quaternion matrices, a new determinant ...