Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...
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Matrix approach to solving linear systems in Python
Learn how to solve linear systems using the matrix approach in Python. This video explains how matrices represent systems of equations and demonstrates practical solutions using linear algebra ...
Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility sequencing (scCAS) is a key technology that enables the ...
pyforce is a Python package implementing Data-Driven Reduced Order Modelling (DDROM) techniques for applications to multi-physics problems, mainly set in the Nuclear Engineering world. These ...
Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility ...
CLA is a simple toy library for basic vector/matrix operations in C. This project main goal is to learn the foundations of CUDA, and Python bindings, using ctypes as a wrapper, through simple Linear ...
Abstract: Recently, in-memory analog matrix computing (AMC) with nonvolatile resistive memory has been developed for solving matrix problems in one step, e.g., matrix inversion of solving linear ...
Illustrating physics problems with Web VPython in Python. Learn how to build clear 3D visualizations for motion and forces, and bring physics concepts to life with interactive animations and simple ...
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