Overview: Open-source MATLAB libraries help you extend MATLAB’s core functionality with advanced tools for optimization, ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming.

The codes developed in this repository are credited to all the members of the course NMPDE - Numerical Methods for Partial Differential Equations (2018) instructed by Prof. D. Palla, Dept. of ...

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 ...

We introduce the variational physics informed neural networks – a general framework to solve differential equations. For more information, please refer to the following: Kharazmi, Ehsan, Zhongqiang ...

Abstract: Neural differential equations are a promising new member in the neural network family. They show the potential of differential equations for time-series data analysis. In this paper, the ...

An equation is a mathematical expression that contains an equals symbol. Equations often contain algebra. Algebra is used in Maths when we do not know the exact number in a calculation - this unknown ...

Abstract: This work advances the application of neural ordinary differential equations (ODEs) to circuit modeling. Prior works primarily utilized the recurrent neural network (RNN), which is a ...