The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An Interior Point Algorithm for Large-Scale Nonlinear Programming
Abstract
The design and implementation of a new algorithm for solving large nonlinear programming problems is described. It follows a barrier approach that employs sequential quadratic programming and trust regions to solve the subproblems occurring in the iteration. Both primal and primal-dual versions of the algorithm are developed, and their performance is illustrated in a set of numerical tests.
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Citations
Cites
Sequential quadratic programming
Boggs, P. T., & Tolle, J. W. (1995) · Acta Numerica · doi:10.1017/s0962492900002518 · Cited by 1,858
Cited by
Wächter, A., & Biegler, L. T. (2006) · Mathematical Programming · doi:10.1007/s10107-004-0559-y · Cited by 9,483
The repertoire of mutational signatures in human cancer
Alexandrov, L. B., Kim, J., Haradhvala, N. J., Huang, M. N., Tian Ng, A. W., Wu, Y., Boot, A., Covington, K. R., Gordenin, D. A., Bergstrom, E. N., et al. (2020) · Nature · doi:10.1038/s41586-020-1943-3 · Cited by 3,496
A trust region method based on interior point techniques for nonlinear programming
Byrd, R. H., Gilbert, J. C., & Nocedal, J. (2000) · Mathematical Programming · doi:10.1007/pl00011391 · Cited by 1,638
Self-citationInterior Methods for Nonlinear Optimization
Forsgren, A., Gill, P. E., & Wright, M. H. (2002) · SIAM Review · doi:10.1137/s0036144502414942 · Cited by 699
Ebrahimian, H., Astroza, R., Conte, J. P., & de Callafon, R. A. (2017) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2016.02.002 · Cited by 134
Metadata
- Authors
- Byrd, R. H., Hribar, M. E., & Nocedal, J.
- Venue
- SIAM Journal on Optimization
- Published
- 1999-01
- Volume
- 9
- Issue
- 4
- Pages
- 877-900
- ISSN
- 1052-6234 (ISSN-L)
- 1095-7189
- OpenAlex
- W1971536112
- Cited by
- 1,739
- References
- 1
- FWCI
- 18.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- Byrd, R. H., Hribar, M. E., & Nocedal, J. (1999). An Interior Point Algorithm for Large-Scale Nonlinear Programming. SIAM Journal on Optimization. https://doi.org/10.1137/s1052623497325107
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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.