These are my go-to libraries for Python data crunching.

Numerical methods using Matlab by Penny, J. E. T. (John E. T.) Publication date 2000 Topics MATLAB, Numerical analysis -- Data processing Publisher Upper Saddle River, NJ : Prentice Hall Collection ...

Abstract: Robust matrix completion refers to recovering a low-rank matrix given a subset of the entries corrupted by gross errors, and has various applications since many real-world signals can be ...

⚠️ Development of TopoToolbox continues in version 3. This version will no longer be developed further, as our focus and resources are now dedicated to advancing version 3. We encourage all users to ...

As AI models move from design to production, mining engineers face a double-faceted challenge: delivering real-time performance on embedded devices with ...

This collection of Julia functions is an attemp to implement high performance numerical software to solve several classes of Lyapunov, Sylvester and Riccati matrix equations at a performance level ...

Researchers found that some animals could “count” carrots in a test—and may have better numerical skills than dogs or horses.

Abstract: This article is based on the local modeling method of rail reverse motion to solve the sliding electrical contact problem. The penalty function application method of the rail entry end face ...

We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: ...