This thesis examines efficient matrix inversion techniques on NVIDIA GPUs, focusing on two primary methods: LU decomposition (LUD) for square matrices and singular value decomposition (SVD) for ...

Abstract: Resulted by the hundreds of antennas at the base-station (BS) side, the dimension of matrices involved in linear detection for massive multiple-input multiple-output (MIMO) uplink systems ...

We have implemented the entire architecture using Vitis HLS tool. Coding in C helped us save significant time in Design and Development of the entire project. Vitis HLS(formerly called Vivado HLS ) is ...

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 ...

There is presently available a large number of techniques purporting to accomplish the inversion of matrices. While the purely mathematical aspects of this problem, on one hand, are thus well ...

The test matrices given by M. L. Pei [Comm. ACM 5, 10 (Oct. 1962), 508] and R. D. Rodman [Comm. ACM 6, 9 (Sept. 1963, 515] are special cases of a general class of matrices with complex elements for ...

A matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns. They are a crucial part of linear algebra and have various applications in fields like engineering, ...