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

This repository contains MATLAB scripts and functions for solving a series of Monte Carlo simulation exercises. These exercises cover fundamental methods such as Monte Carlo integration, random ...

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 ...

Abstract: Leader follower formation of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) has found numerous applications such as surveillance of critical infrastructure, industrial ...

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 ...

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: ...