Code for the paper "A Random Matrix Model for a Family of Cusp Forms" by Owen Barrett, Zoë X. Batterman, Aditya Jambhale, Steven J. Miller, Akash L. Narayanan, Kishan Sharma, and Chris Yao started ...
Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization
Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...
A matrix is similar to Jordan canonical form over the complex field and the rational canonical form over a number field, respectively. In this paper, we further study the rational canonical form of a ...
TL;DR: We show how the relation of convolution, circulant matrices and the Fourier transform generalizes to the quaternionic domain. A Lipschitz constant bounding application acts as a ...
Matrix multiplication involves the multiplication of two matrices to produce a third matrix – the matrix product. This allows for the efficient processing of multiple data points or operations ...
When we want to find solutions to a system of linear equations, we usually go about it by adding or subtracting multiples of one equation from another in order to eliminate variables one by one. These ...
A solution of this system is a list of values for the \(x_i\)s such that when we substitute them into (2.2), the equation holds. A system of linear equations is consistent if it has a solution, ...
One of the biggest management innovations to emerge in the past 30 years has been the matrix organizational structure. Matrix management is a hybrid organizational structure in which a horizontal ...
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