Random Matrix Theory (RMT) has emerged as an indispensable framework for understanding the statistical properties of matrices whose entries are determined by probabilistic processes. Initially ...

Introduces linear algebra and matrices, with an emphasis on applications, including methods to solve systems of linear algebraic and linear ordinary differential equations. Discusses computational ...

Maximum distance separable (MDS) matrices play a critical role in the design of secure cryptographic systems by ensuring optimal diffusion in block ciphers and related schemes. Owing to their ...

NEW YORK, NY--(Marketwired - January 13, 2014) - Interactive Data Corporation and Matrix Applications today announced an agreement to provide data and tools to help asset managers to navigate the ...

The objectives of this course are: to develop competence in the basic concepts of linear algebra, including systems of linear equations, vector spaces, subspaces, linear transformations, the ...