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20102022
most citedActive subspace methods in theory and practice: applications to kriging surfaces

514 citations · 1.7k across the 51 of their papers we have counts for

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physics.comp-ph2018★ 28 cited

Feasibility analysis of ensemble sensitivity computation in turbulent flows

Nisha Chandramoorthy, Pablo Fernandez, Chaitanya Talnikar +1

In chaotic systems, such as turbulent flows, the solutions to tangent and adjoint equations exhibit an unbounded growth in their norms. This behavior renders the instantaneous tang…

physics.comp-ph2017★ 24 cited

Sensitivity analysis on chaotic dynamical systems by Finite Difference Non-Intrusive Least Squares Shadowing (FD-NILSS)

Angxiu Ni, Qiqi Wang, Pablo Fernandez +1

We present the Finite Difference Non-Intrusive Least Squares Shadowing (FD-NILSS) algorithm for computing sensitivities of long-time averaged quantities in chaotic dynamical system…

physics.comp-ph2016★ 95 cited

Sensitivity analysis on chaotic dynamical system by Non-Intrusive Least Square Shadowing (NILSS)

Angxiu Ni, Qiqi Wang

This paper develops the non-intrusive formulation of the Least-squares shadowing (LSS) method, for computing the sensitivity of long-time averaged objectives in chaotic dynamical s…

physics.comp-ph2014★ 11 cited

Least Squares Shadowing for Sensitivity Analysis of Turbulent Fluid Flows

Patrick Blonigan, Steven Gomez, Qiqi Wang

Computational methods for sensitivity analysis are invaluable tools for aerodynamics research and engineering design. However, traditional sensitivity analysis methods break down w…

physics.comp-ph2012★ 172 cited

Least Squares Shadowing sensitivity analysis of chaotic limit cycle oscillations

Qiqi Wang, Rui Hu, Patrick Blonigan

The adjoint method, among other sensitivity analysis methods, can fail in chaotic dynamical systems. The result from these methods can be too large, often by orders of magnitude, w…

physics.comp-ph2012★ 134 cited

Forward and Adjoint Sensitivity Computation of Chaotic Dynamical Systems

Qiqi Wang

This paper describes a forward algorithm and an adjoint algorithm for computing sensitivity derivatives in chaotic dynamical systems, such as the Lorenz attractor. The algorithms c…