The DOI matches its Crossref record.
Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition
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Citations
Cited by
brms : An R Package for Bayesian Multilevel Models Using Stan
Bürkner, P.-C. (2017) · Journal of Statistical Software · doi:10.18637/jss.v080.i01 · Cited by 9,476
“using algorithmic differentiation (Griewank and Walther 2008) but is still a time-consuming process for more complex models.”
MethodFlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Dao, T., Fu, D. Y., Ermon, S., Rudra, A., & Ré, C. (2022) · arXiv · doi:10.48550/arxiv.2205.14135 · Cited by 1,214
“This can be seen as a form of selective gradient checkpointing [10, 36].”
BackgroundMarkov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy
Sharma, S. (2017) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev-astro-082214-122339 · Cited by 298
Differentiable Programming Tensor Networks
Liao, H.-J., Liu, J.-G., Wang, L., & Xiang, T. (2019) · Physical Review X · doi:10.1103/physrevx.9.031041 · Cited by 251
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining
Liu, Y., Xu, L., Yuan, X., Wang, C., & Li, B. (2022) · IEEE INFOCOM 2022 - IEEE Conference on Computer Communications · doi:10.1109/infocom48880.2022.9796721 · Cited by 202
Metadata
- Authors
- Griewank, A., & Walther, A.
- Venue
- Society for Industrial and Applied Mathematics eBooks
- Published
- 2008-01
- OpenAlex
- W2478429860
- Cited by
- 1,529
- References
- 0
- FWCI
- 69.14
- Type
- book
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition. https://app.cochat.ai/papers/10.1137/1.9780898717761
- The paper
- Griewank, A., & Walther, A. (2008). Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition. Society for Industrial and Applied Mathematics eBooks. https://doi.org/10.1137/1.9780898717761
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
