The DOI matches its Crossref record.
Introduction to Numerical Analysis.
Abstract
This well written book is enlarged by the following topics: $B$-splines and their computation, elimination methods for large sparse systems of linear equations, Lanczos algorithm for eigenvalue problems, implicit shift techniques for the $LR$ and $QR$ algorithm, implicit differential equations, differential algebraic systems, new methods for stiff differential equations, preconditioning techniques and convergence rate of the conjugate gradient algorithm and multigrid methods for boundary value problems. Cf. also the reviews of the German original editions.
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Cited by
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Theoretical systems of triboelectric nanogenerators
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Neural networks and principal component analysis: Learning from examples without local minima
Baldi, P., & Hornik, K. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90014-2 · Cited by 1,383
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Olsen, J., & Jo/rgensen, P. (1985) · The Journal of Chemical Physics · doi:10.1063/1.448223 · Cited by 1,122
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Metadata
- Authors
- Froberg, C.-E., Stoer, J., & Bulirsch, R.
- Venue
- Mathematics of Computation
- Publisher
- JSTOR
- Published
- 1981-10
- Volume
- 37
- Issue
- 156
- Pages
- 600
- ISSN
- 0025-5718 (ISSN-L)
- OpenAlex
- W1971947347
- Cited by
- 5,463
- References
- 0
- FWCI
- 54.57
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Introduction to Numerical Analysis. https://app.cochat.ai/papers/10.2307/2007454
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- Froberg, C.-E., Stoer, J., & Bulirsch, R. (1981). Introduction to Numerical Analysis. Mathematics of Computation. https://doi.org/10.2307/2007454
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.
