A framework for structural shape optimization based on automatic differentiation, the adjoint method and accelerated linear algebra
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s00158-023-03601-0.pdf
Reference38 articles.
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2. Adriaenssens S, Block P, Veenendaal D et al. (2014) Shell structures for architecture: form finding and optimization. Routledge. https://doi.org/10.4324/9781315849270
3. Barnes MR (1999) Form finding and analysis of tension structures by dynamic relaxation. Int J Space Struct 14(2):89–104. https://doi.org/10.1260/0266351991494722
4. Baydin AG, Pearlmutter BA, Radul AA et al. (2018) Automatic differentiation in machine learning: a survey. J Mach Learn Res 18:1–43
5. Bezgin DA, Buhendwa AB, Adams NA (2023) JAX-fluids: a fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows. Comput Phys Commun 282(108):527. https://doi.org/10.1016/j.cpc.2022.108527
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