The DOI matches its Crossref record.
Methods of Mathematical Physics
Abstract
Since the first volume of this work came out in Germany in 1924, this book, together with its second volume, has remained standard in the field. Courant and Hilbert's treatment restores the historically deep connections between physical intuition and mathematical development, providing the reader with a unified approach to mathematical physics. The present volume represents Richard Courant's second and final revision of 1953.
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Cited by
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Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992) · Proceedings of the fifth annual workshop on Computational learning theory · doi:10.1145/130385.130401 · Cited by 11,992
Snakes, shapes, and gradient vector flow
Xu, C., & Prince, J. L. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.661186 · Cited by 4,001
Probabilistic Principal Component Analysis
Tipping, M. E., & Bishop, C. M. (1999) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00196 · Cited by 3,679
THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS
GOOD, I. J. (1953) · Biometrika · doi:10.1093/biomet/40.3-4.237 · Cited by 3,437
Random Walks for Image Segmentation
Grady, L. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.233 · Cited by 2,624
Metadata
- Authors
- Courant, R., & Hilbert, D.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 1989-04-19
- OpenAlex
- W1680579736
- Cited by
- 8,067
- References
- 0
- FWCI
- 69.03
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Methods of Mathematical Physics. https://app.cochat.ai/papers/10.1002/9783527617210
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- Courant, R., & Hilbert, D. (1989). Methods of Mathematical Physics. Wiley eBooks. https://doi.org/10.1002/9783527617210
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.
