High-order uncertain differential equations are used to model differentiable uncertain systems with high-order differentials, and how to solve the high-order uncertain differential equations is a core ...

This paper proposes a novel non-iterative method to solve power system differential algebraic equations (DAEs) using the differential transformation, which is a mathematical tool able to obtain power ...

Finite-Difference-Methods This repository contains codes for solving partial differential equations using Finite Difference Methods in MATLAB.

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

This text is meant for students of higher schools and deals with the most important sections of mathematics-differential equations and the calculus of variations. The book contains a large number of ...

This is a first course in ordinary differential equations with applications, including boundary value problems, methods of solution of first order differential equations and the solution of higher ...

Based on this new function, a smoothing Newton-type method is proposed for solving second-order cone programming. At each iteration, the proposed algorithm solves only one system of linear equations ...

A simple chalkboard sum has tripped up thousands - and the right answer depends on remembering one classroom rule you probably haven't used since middle school.

Eigenfunction Expansions associated with Second-Order Differential Equations By Prof. E. C. Titchmarsh. Pp. vii + 176. (Oxford: Clarendon Press; London: Oxford ...

SC’s stray dog order fails Delhi. Courtroom absolutes don’t solve bad policy What’s needed now is a policy-based solution. The situation cannot remain suspended between denial and inaction—it has ...