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Abstract: Conjugate gradient (CG), as an effective technique to speed up gradient descent algorithms, has shown great potential and has widely been used for large-scale machine-learning problems.

The benchmark tests show that the noise-free realization of QA can significantly outperform state-of-the-art classical algorithms. Quantum annealing (QA) is a cutting-edge algorithm that leverages the ...

Tim is an Australian Senior Editor based in Germany who has been passionate about video games since he first picked up a PlayStation 1 controller to play Crash Bandicoot as a kid. He started out with ...

Hi, I could be totally off here, but I think the following line in step! for conjugate gradient descent could be a little inconsistent: β = max(0, dot(g′, g′-g)/(g⋅g)) There is both the dot() and the ...

In this paper, a new nonlinear conjugate gradient method is proposed for large-scale unconstrained optimization. The sufficient descent property holds without any line searches. We use some steplength ...