The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Sufficient conditions for the convergence of monotonic mathematicalprogramming algorithms
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“However, if f is strictly monotone with respect to Φ , then we can strengthen Zangwill's global convergence theorem (Meyer, 1976).”
From Hopfield Networks is All You Need (2020) · cites this paper as Meyer, 1976
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Citations
Cites
On the Convergence of Some Feasible Direction Algorithms for Nonlinear Programming
Topkis, D. M., & Veinott, A. F. (1967) · SIAM Journal on Control · doi:10.1137/0305018 · Cited by 148
Mangasrian, O. L. (1972) · Journal of Engineering for Industry · doi:10.1115/1.3428164 · Cited by 134
The Validity of a Family of Optimization Methods
Meyer, R. (1970) · SIAM Journal on Control · doi:10.1137/0308003 · Cited by 115
Self-citationOn the Convergence of Algorithms with Restart
Meyer, R. R. (1976) · SIAM Journal on Numerical Analysis · doi:10.1137/0713057 · Cited by 8
Self-citationApplication of Liapunov's Direct Method to Fixed Point Theorems
George, J. H., Sehgal, V. M., & Smithson, R. E. (1971) · Proceedings of the American Mathematical Society · doi:10.1090/s0002-9939-1971-0281185-9 · Cited by 4
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Biconvex sets and optimization with biconvex functions: a survey and extensions
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Designing structured tight frames via an alternating projection method
Tropp, J. A., Dhillon, I. S., Heath, R. W., & Strohmer, T. (2005) · IEEE Transactions on Information Theory · doi:10.1109/tit.2004.839492 · Cited by 494
A Gradient Algorithm Locally Equivalent to the Em Algorithm
Lange, K. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02037.x · Cited by 376
Trace Ratio vs. Ratio Trace for Dimensionality Reduction
Wang, H., Yan, S., Xu, D., Tang, X., & Huang, T. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.382983 · Cited by 349
Portfolio optimization with linear and fixed transaction costs
Lobo, M. S., Fazel, M., & Boyd, S. (2007) · Annals of Operations Research · doi:10.1007/s10479-006-0145-1 · Cited by 350
Metadata
- Authors
- Meyer, R. R.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Meyer, R.R.
- ORCID
- Meyer, R.R.
- Venue
- Journal of Computer and System Sciences
- Publisher
- Elsevier BV
- Published
- 1976-02
- Volume
- 12
- Issue
- 1
- Pages
- 108-121
- ISSN
- 0022-0000 (ISSN-L)
- OpenAlex
- W2043230024
- Cited by
- 113
- References
- 5
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 2 · 2020: 4 · 2019: 2 · 2018: 7 · 2017: 9 · 2016: 9 · 2015: 7 · 2014: 2 · 2013: 6 · 2012: 5
- FWCI
- 3.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 13681 d)
- Locations
- Journal of Computer and System Sciences (publishedVersion)
- Minds at UW (University of Wisconsin) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Optimization and Variational Analysis
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
- Keywords
- global convergence, nonlinear programming, fixed points, point-to-set mappings, sufficient conditions
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- CoChat. (2026). Citation check: Sufficient conditions for the convergence of monotonic mathematicalprogramming algorithms. https://app.cochat.ai/papers/10.1016/s0022-0000(76)80021-9
- The paper
- Meyer, R. R. (1976). Sufficient conditions for the convergence of monotonic mathematicalprogramming algorithms. Journal of Computer and System Sciences. https://doi.org/10.1016/s0022-0000(76)80021-9
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.