Abstract: The application of deep learning techniques to full waveform inversion (FWI) theory represents a significant research direction. Leveraging the nonlinear representations offered by deep ...

The project is a console application created for the assignment of numerical methods. It involves the implementation of various algorithms to solve linear equations, non-linear equations, differential ...

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 ...

The mission of Technometrics is to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences. Its content features papers that describe new ...

An increasing number of satellites are being launched to observe the atmospheric concentrations of a variety of trace species. They cover a wide area at once and are expected to provide more extensive ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...