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

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

Rigorous error estimates for amplitude equations are well known for deterministic PDEs, and there is a large body of literature over the past two decades. However ...

A teenager has just done what dozens of seasoned mathematicians could not: they toppled a conjecture that quietly steered harmonic analysis and ...

Abstract: Neural differential equations are a promising new member in the neural network family. They show the potential of differential equations for time-series data analysis. In this paper, the ...

Face-to-Face class that meets on designated campus. Students are expected to attend all class meetings on the days and times shown in schedule. Students who do not attend a class meeting by the end of ...

Abstract: Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), ...

If you currently have a budget of 200,000 yuan and want to buy a new energy rugged SUV, the popular Deep Blue G318 and ...

In the present article, fractional view of third order Kortewege-De Vries equations is presented by a sophisticated analytical technique called Mohand decomposition method. The Caputo fractional ...

Terence Tao, a renowned mathematician at UCLA, faced funding challenges after the Trump administration froze federal research ...

Teams are spending more aggressively than ever, but everyone’s approach is unique, and many have seen little return on ...

If you currently have a budget of 200,000 yuan and want to buy a new energy rugged SUV, the popular Deep Blue G318 and ...