In the present work a general methodology to deal with inverse problems is presented. This algorithm will be able to solve linear integral inverse problem, nonlinear integral inverse problem, inverse ...

Conclusion: Understanding how to calculate the inverse of a matrix is essential in multiple domains, as it facilitates solving linear equations and performing manipulations on data. Although there are ...

We'll look at how to use SciPy to numerically solve linear systems corresponding to square matrices. We'll also look at how to implement row operations (Gaussian elimination). First we import the ...

SLAM as Least-Square Problems. Uses LU, QR and Pseudo Inverse with sparse matrix techniques to get the optimization - aaronzguan/Linear-and-Nonlinear-SLAM-Solvers ...

Noticing the difficulty of directly obtaining the weighting matrix, an adaptive integral concurrent learning (ICL) algorithm is developed to identify the system matrices and human feedback gain matrix ...

Learn how to use inverse operations to find the value of an unknown variable in an equation, so that the value is true.

In this article, a system of Yang-Baxter-type matrix equations is studied, XAX = BXB, XBX = AXA, which “generalizes” the matrix Yang-Baxter equation and exhibits a broken symmetry. We investigate the ...

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 ...