Automatic adjoint differentiation for gradient descent and model calibration

DOI10.1142/S0219691320400044MaRDI QIDQ5090102

Dmitri Goloubentsev, Evgeny Lakshtanov

Publication date: 15 July 2022

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1901.04200

zbMATH Keywords

single instruction multiple dataautomatic vectorizationAAD-compilerautomatic adjoint differentiation

Mathematics Subject Classification ID

Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.) (68N19) Parallel algorithms in computer science (68W10) Parallel numerical computation (65Y05) Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.) (68Q17)

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