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20162023
most citedDerivative-based SINDy (DSINDy): Addressing the challenge of discovering governing equations from noisy data

48 citations · 122 across the 18 of their papers we have counts for

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Showing 2020 · math.OCShow all

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math.OC2020

A stochastic subspace approach to gradient-free optimization in high dimensions

David Kozak, Stephen Becker, Alireza Doostan +1

We present a stochastic descent algorithm for unconstrained optimization that is particularly efficient when the objective function is slow to evaluate and gradients are not easily…