This repository contains an implementation of a numerical solver for differential equations using Euler's Method. The solver approximates solutions for first-order differential equations by ...

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

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CUET PG Mathematics Syllabus 2025 is designed to evaluate the aspirant’s proficiency in core mathematical concepts and ...

Topics include methods of solutions for linear and non-linear first order differential equations, linear second order differential equations, higher order linear differential equations, systems of ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid ...

ABSTRACT: The paper firstly studies existence condition of solution via the corresponding characteristic eigenvalues condition. Secondly, we derive the representation for the general solution by using ...

or \(log{(x)}\). A linear equation can have more than one variable, such as \(y = a + bx +cz\); however, this resource focuses on equations involving one or two variables. Solving a linear equation ...

for example \(3x + 5 = 11\) Solving an equation means finding the value or values for which the two expressions are equal. This means equations are not always true. In the example above ...

Abstract: In this article, we focus on solving the problem of online multiplayer differential games (MDGs) of Markov jump systems (MJSs ... where each player can derive their optimal control policy ...

Researchers have developed a framework that can boost the protection of critical infrastructure in the country against the threat of ballistic missiles. According to an official release, this ...