Vectors: Represent quantities with both magnitude and direction, often visualized as arrows. Matrices: Rectangular arrays of numbers used to represent linear transformations and systems of equations.

M.Sc. in Applied Mathematics, Technion (Israel Institute of Technology) Ph.D. in Applied Mathematics, Caltech (California Institute of Technology) [1] A. Melman (2023): “Matrices whose eigenvalues are ...

Abstract: Sparse matrices and linear algebra are at the heart of scientific simulations. More than 70 sparse matrix storage formats have been developed over the years, targeting a wide range of ...

Abstract: Sparse linear algebra kernels achieve sub-optimal performance due to their poor cache locality. Matrix reordering is an effective pre-processing optimization that improves cache locality and ...

The Armadillo C++ Lib is a fantastic library for Matrix, Linear Algebra and Scientific Computing in general, it is a very fast library and many great software has been written with it. It has a ...

The current paper is mainly devoted for solving centrosymmetric linear systems of equations. Formulae for the determinants of tridiagonal centrosymmetric matrices are obtained explicitly. Two ...

Self-funded student: register by the 10th of the month, start on the 1st of the next. Funded student: please check the next enrolment deadline and course start date. Mathematics Diagnostic Assessment.