PolarGrad (Polar Gradient methods; Lau et al., 2025) is a class of matrix-gradient optimizers based on the concept of gradient-anisotropy preconditioning in optimization. It has close relation to Muon ...

This is a preview. Log in through your library . Abstract The sparsity constrained rank-one matrix approximation problem is a difficult mathematical optimization problem which arises in a wide array ...

Abstract: This paper introduces the full waveform inversion algorithm of ground penetrating radar, which can make full use of the travel time, phase, amplitude and other echo signal information ...