Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/ - patrick-kidger/diffrax ...

An improved partial differential equation solving method based on deep neural networks (Taylor PINN) has been proposed. This method utilizes the universal approximation theorem of deep neural networks ...

CBSE Class 12 Maths Half Yearly Sample Paper 2025 with Solution, get here the complete set of questions and free PDF to download ...

The proof, known to be so hard that a mathematician once offered 10 martinis to whoever could figure it out, connects quantum ...

When an exact solution to a first order differential equation cannot be achieved using one of the methods developed in chapter 2, it is still possible in many cases, to obtain estimates of the ...

A University of New South Wales (UNSW) Sydney mathematician has revealed the first successful solution of an ‘impossible’ equation once considered unsolvable. Described as algebra’s oldest problem, ...

The Destiny 2 community discovered a massive chess puzzle in Episode: Heresy. Here’s how to solve the puzzle and help the community.

They discretized the differential equation using the finite difference and pseudo-spectral methods and concluded that the domain decomposition method is the best among these methods at highest ...

The solvability of a delay differential equation arising in the construction of quadratic cost functionals, i.e., Lyapunov functionals, for a linear time-delay system with a constant and a distributed ...

The development of neural networks has brought a significant impact on solving differential equation problems. We refer the readers to ref. 1 for the recent advancement in this topic. One typical ...