Coupled Adjoint-Based Sensitivities in Large-Displacement Fluid-Structure Interaction using Algorithmic Differentiation
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DOI: 10.1002/nme.5700
Abstract: Summary A methodology for the calculation of gradients with respect to design parameters in general Fluid-Structure Interaction problems is presented. It is based on fixed-point iterations on the adjoint variables of the coupled system using… read more here.
Keywords: fluid structure; using algorithmic; algorithmic differentiation; structure interaction ... See more keywords
An introduction to algorithmic differentiation
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DOI: 10.1002/widm.1334
Abstract: Algorithmic differentiation (AD), also known as automatic differentiation, is a technology for accurate and efficient evaluation of derivatives of a function given as a computer model. The evaluations of such models are essential building blocks… read more here.
Keywords: introduction algorithmic; differentiation; algorithmic differentiation;
A usability case study of algorithmic differentiation tools on the ISSM ice sheet model
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DOI: 10.1080/10556788.2017.1396602
Abstract: Algorithmic differentiation (AD) based on operator overloading is often the only feasible approach for applying AD in complex C++ software environments. Challenges pertaining to the introduction of an AD tool based on operator overloading have… read more here.
Keywords: ice sheet; tool; model; algorithmic differentiation ... See more keywords
Algorithmic differentiation of the Open CASCADE Technology CAD kernel and its coupling with an adjoint CFD solver
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DOI: 10.1080/10556788.2018.1431235
Abstract: Computer-aided design (CAD) tools are extensively used to design industrial components, however, contrary to e.g. computational fluid dynamics (CFD) solvers, shape sensitivities for gradient-based optimization of CAD-parametrized geometries have only been available with inaccurate and… read more here.
Keywords: cad kernel; cad; cascade technology; algorithmic differentiation ... See more keywords
Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
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DOI: 10.1371/journal.pone.0217730
Abstract: Algorithmic differentiation (AD) is an alternative to finite differences (FD) for evaluating function derivatives. The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory… read more here.
Keywords: trajectory optimization; optimization human; optimization; algorithmic differentiation ... See more keywords