activity
20202022
most citedComputational assessment of smooth and rough parameter dependence of statistics in chaotic dynamical systems

17 citations · 37 across the 6 of their papers we have counts for

collaborators

6 papers

math.DS2022

Approximating linear response of physical chaos

Adam A. Sliwiak, Qiqi Wang

Parametric derivatives of statistics are highly desired quantities in prediction, design optimization and uncertainty quantification. In the presence of chaos, the rigorous computa…

math.DS2021★ 2 cited

Space-split algorithm for sensitivity analysis of discrete chaotic systems with unstable manifolds of arbitrary dimension

Adam A. Sliwiak, Qiqi Wang

Accurate approximations of the change of system's output and its statistics with respect to the input are highly desired in computational dynamics. Ruelle's linear response theory…

math.DS2021★ 5 cited

A trajectory-driven algorithm for differentiating SRB measures on unstable manifolds

Adam A. Sliwiak, Qiqi Wang

SRB measures are limiting stationary distributions describing the statistical behavior of chaotic dynamical systems. Directional derivatives of SRB measure densities conditioned on…

math.NA2021★ 3 cited

Differentiating densities on smooth manifolds

Adam A. Sliwiak, Qiqi Wang

Lebesgue integration of derivatives of strongly-oscillatory functions is a recurring challenge in computational science and engineering. Integration by parts is an effective remedy…

nlin.CD2021★ 17 cited

Computational assessment of smooth and rough parameter dependence of statistics in chaotic dynamical systems

Adam A. Sliwiak, Nisha Chandramoorthy, Qiqi Wang

An assumption of smooth response to small parameter changes, of statistics or long-time averages of a chaotic system, is generally made in the field of sensitivity analysis, and th…

nlin.CD2020★ 10 cited

Ergodic Sensitivity Analysis of One-Dimensional Chaotic Maps

Adam A. Sliwiak, Nisha Chandramoorthy, Qiqi Wang

Sensitivity analysis in chaotic dynamical systems is a challenging task from a computational point of view. In this work, we present a numerical investigation of a novel approach,…