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Higher-order automatic differentiation of mathematical functions

Published:2015-04 Issue: Volume:189 Page:66-71
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Charpentier Isabelle,Dal Cappello Claude

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Hardware and Architecture

Reference12 articles.

1. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables;Abramowitz,1964

2. NIST Digital Library of Mathematical Functions, http://dlmf.nist.gov/, Release 1.0.9 of 2014-08-29. Last access 25/09/2014.

3. Exponential Polynomials

4. Algorithm 755: ADOL-C

5. COSY INFINITY and its applications in nonlinear dynamics;Berz,1996

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1. FDOT: A Fast, memory-efficient and automated approach for Discrete adjoint sensitivity analysis using the Operator overloading Technique;Aerospace Science and Technology;2019-08

2. Arbogast: Higher order automatic differentiation for special functions with Modular C;Optimization Methods and Software;2018-02-26

3. Optimized higher-order automatic differentiation for the Faddeeva function;Computer Physics Communications;2016-08

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