It constructs near-optimal solutions through discrete sample points, introduces a threshold relaxation strategy to locate equioscillation points, and establishes a coefficient solution framework based ...

The matrix completion problem is restoring a given matrix with missing entries when handling incomplete data. In many existing researches, rank minimization plays a central role in matrix completion.

His approach to linear algebra is pretty polarizing, with many praising the book's more abstract approach and others criticizing it for his decision to defer use of the determinant until the end of ...

Linear ill-posed models are widely encountered in various problems in geophysics and remote sensing. The regularization technique can significantly improve the accuracy of the estimates since the ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

This is a preview. Log in through your library . Journal Information Annals of Mathematics, a distinguished journal of research papers in pure mathematics, was founded in 1884. Annals of Mathematics ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

MIT study highlights risk of deploying large AI models for climate science — supporting the assertion that, when it comes to AI, bigger isn’t always ...

AI is already rapidly redefining how we discover and design biologics, and as CTO at Cytiva, I’ve had the privilege of ...

What are the solutions to climate change? Climate change is already an urgent threat to millions of lives – but there are solutions. From changing how we get our energy to limiting deforestation, here ...