Overview: Using the right apps helps organize projects, notes, and assignments for engineering students.Tools like Wolfram Alpha and AutoCAD Mobile save time an ...
Abstract: This paper introduces neuroevolution for solving differential equations. The solution is obtained through optimizing a deep neural network whose loss function is defined by the residual ...
The course provides a thorough introduction to design, analysis (both theoretical and empirical), and programming of difference and elemental methods to solve differential equations. In addition, the ...
If you cannot compile the MEX file, you'll be limited to N=31 Fourier modes in each spatial direction. Now cd .. to come back to the root folder of the adcell project.
For many, it's been years since they've sat in a classroom while a teacher tested their arithmetic skills. Internet users are now racking their brains to remember how to solve elementary school ...
Abstract: In this article, we propose an efficient Takagi–Sugeno fuzzy zeroing neural network (TS-FZNN) activated by a new activation function for solving the time-varying Sylvester equation. The self ...
optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you ...
Earlier this month the Mathematics Institute at Uppsala University hosted a conference called Categorification in Algebra and Topology, clearly a theme close to our collective heart. As yet there are ...