Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing ...

Abstract. A new hybrid conjugate gradient algorithm is considered. The conjugate gradient parameter 𝛽𝑘 is computed as a convex combination of β k CD and β k LS . The parameter 𝛳𝑘 is computed in ...

Here we propose an alternative method based on conjugate gradients. The key, as we show, is that the EM step can be viewed (approximately at least) as a generalized gradient, making it natural to ...

Researchers review AI-powered inverse lithography, showing how deep learning boosts chip patterning precision and efficiency ...