In the past few years, fractional differential equations have emerged as a strong and well-organized mathematical tool ... Your topic is managed through our user-friendly online platform, and the peer ...

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 ...

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 ...

Mathematics forms an important part of this exam that requires a strong foundation in various mathematical concepts. The UPSC NDA Maths syllabus is divided into various topics such as algebra, ...

Brain-inspired spiking neural networks (SNNs) are successfully applied to many pattern recognition domains. The SNNs-based deep structure has achieved considerable results in perceptual tasks, such as ...

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.

To solve simultaneous equations we must work out the value of x and y that make the equations work. STEP 1 - Look at the problem and highlight what you know. In this example you know 1 adult and 2 ...

They work through the list to rule in and rule out which diagnosis is the best fit. This process is called "differential diagnosis." They may order additional tests or imaging to pinpoint the best ...

In a mesmerising blend of art and mathematics, a research student from University College London (UCL) has recently gained widespread attention for creating intricate images solely through ...