If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...

Abstract: Sparse matrix reordering is an important step in Cholesky decomposition. By reordering the rows and columns of the matrix, the time of computation and storage cost can be greatly reduced.

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

An image of the core region of Messier 87, home to a supermassive black hole, processed from a sparse array of radio telescopes known as the Event Horizon Telescope. (Image credit: Event Horizon ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

If folks have libraries who are using SciPy sparse matrices, and you'd like help converting them to run/work with sparse array, this sounds like a nice opportunity to work that out. I wrote a ...

The test suite in conda-forge/arrow-cpp-feedstock#1664 has a single test failure ===== FAILURES ===== _____ test_sparse_coo_tensor_scipy_roundtrip[f2-arrow_type8 ...

A new technical paper titled “Signal processing architecture for a trustworthy 77GHz MIMO Radar” was published by researchers at Fraunhofer FHR, Ruhr University Bochum, and Wavesense Dresden GmbH.

1 School of Electrical and Information Technology, Yunnan Minzu University, Kunming, China 2 Yunnan Key Laboratory of Unmanned Autonomous System, Yunnan Minzu University, Kunming, China The shallow ...