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A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem
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Cited by
Optimal Transport for Domain Adaptation
Courty, N., Flamary, R., Tuia, D., & Rakotomamonjy, A. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2615921 · Cited by 989
Convolutional wasserstein distances: efficient optimal transportation on geometric domains
Solomon, J., de Goes, F., Peyré, G., Cuturi, M., Butscher, A., Nguyen, A., Du, T., & Guibas, L. (2015) · ACM Transactions on Graphics · doi:10.1145/2766963 · Cited by 481
Scaling algorithms for unbalanced optimal transport problems
Chizat, L., Peyré, G., Schmitzer, B., & Vialard, F.-X. (2018) · Mathematics of Computation · doi:10.1090/mcom/3303 · Cited by 336
Mean-field models in swarm robotics: a survey
Elamvazhuthi, K., & Berman, S. (2019) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/ab49a4 · Cited by 110
Optimal transport for single-cell and spatial omics
Bunne, C., Schiebinger, G., Krause, A., Regev, A., & Cuturi, M. (2024) · Nature Reviews Methods Primers · doi:10.1038/s43586-024-00334-2 · Cited by 71
Metadata
- Authors
- Benamou, J.-D., & Brenier, Y.
- Venue
- Numerische Mathematik
- Published
- 2000-01-01
- Volume
- 84
- Issue
- 3
- Pages
- 375-393
- ISSN
- 0029-599X (ISSN-L)
- 0945-3245
- OpenAlex
- W1985506636
- Cited by
- 1,609
- References
- 0
- FWCI
- 25.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem. https://app.cochat.ai/papers/10.1007/s002110050002
- The paper
- Benamou, J.-D., & Brenier, Y. (2000). A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem. Numerische Mathematik. https://doi.org/10.1007/s002110050002
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.
