Deep neural networks can predict well even when fitting noisy data. The phenomenon is called benign overfitting.

A classical problem that traces back to Helmholtz and Kirchhoff is the understanding of the dynamics of solutions to the Euler equations of an inviscid incompressible fluid when the vorticity of the solution is initially concentrated near isolated points in 2d or vortex

The cluster algebras A

In this paper, we establish stochastic elastic model and stochastic Peierls--Nabarro (PN) model with short range order (SRO) in high--entropy alloys (HEAs).

Best subset selection aims to find a small subset of predictors that lead to the most desirable and pre-defined prediction accuracy in a linear regression model.

The global blockchain technology market size is expected to expand at a compound annual growth rate of over 80% from 2021 to 2028.

In this era of big data, quantifying relationships between different components of a complex system is an appealing and challenging problem.

The development in computer technology have enabled computerized trading algorithms. Market making is one of the most famous high frequency trading strategy. By placing bid and ask orders simultaneously, market maker provides liquidity to the market.