Complex matrix algebra is of great importance to a wide variety of applications. One of the most important application areas is telecommunications. Matrix calculations are used in communications ...

Abstract: This paper presents matrix inversion algorithms based on LU decomposition and QR decomposition and LDLT decomposition (i.e. improved Cholesky decomposition) and the time complexity of the ...

Abstract: This paper describes a special-purpose matrix inversion technique developed in the System-Planning Branch of TVA (Tennessee Valley Authority). This is the first known use of the method. It ...

Inverting a matrix is one of the most common tasks in data science and machine learning. In this article I explain why inverting a matrix is very difficult and present code that you can use as-is, or ...

• The primary objective is to create mathematical models capable of predicting observed patterns in viewership to the maximum possible accuracy. • The Matrix Inversion Method is employed to fit both a ...

Fingerprint matrices transform scattered light into clear images, overcoming challenges in opaque environments and paving the ...