Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...

We deal with the problem of bridging the gap between two scales in neuronal modeling. At the first (microscopic) scale, neurons are considered individually and their behavior described by stochastic ...

Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...

This process is called "differential diagnosis." They may order additional tests or imaging to pinpoint ... An important reason to understand what diagnoses were eliminated—and why—is to confirm that ...

However, did you know a lot of the bots you have been using are actually examples of artificial intelligence? The bot has been designed to mimic human-like responses and perform a variety of tasks.

Examples of the opportunities provided for learning on this course are ... Solve first-order linear and variable separable differential equations; • Solve second-order linear differential equations ...

The non-receptor tyrosine kinase Src is important for many aspects of cell physiology. The viral src gene was the first retroviral oncogene to be identified, and its cellular counterpart was the ...

By separable extension over multiple dimensions, this methodology can then be applied to signals, images and video over arbitrary numbers of dimensions. • The normalised sampled Gaussian kernel ...

We have looked at how to solve equations with one unknown value, but what happens when there are two unknown values? An equation with two unknown values will have infinitely many solutions.

It understands the processes which occur at the small scale and relates these to the larger scale production of, for example: pharmaceuticals ... Representing chemical data; linear dependence; ...