The seemingly unpredictable, and thereby uncontrollable, dynamics of living organisms have perplexed and fascinated ...

Abstract: The challenging task of solving inverse scattering problems (ISPs) is due to their inherent ill-posedness and nonlinearity. To alleviate ill-posedness, a novel hybrid regularization method ...

Abstract: Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because ...

MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...