The Mosek Interior Point Optimizer for Linear Programming: An Implementation of the Homogeneous Algorithm
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Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505 · see citing works
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SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2020) · Nature Methods · doi:10.1038/s41592-019-0686-2 · Cited by 38,430 · see citing works
Multiple kernel learning, conic duality, and the SMO algorithm
Bach, F. R., Lanckriet, G. R. G., & Jordan, M. I. (2004) · Twenty-first international conference on Machine learning - ICML '04 · doi:10.1145/1015330.1015424 · Cited by 1,453 · see citing works
All you need to know about model predictive control for buildings
Drgoňa, J., Arroyo, J., Cupeiro Figueroa, I., Blum, D., Arendt, K., Kim, D., Ollé, E. P., Oravec, J., Wetter, M., Vrabie, D. L., et al. (2020) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2020.09.001 · Cited by 1,020 · see citing works
Bounded biharmonic weights for real-time deformation
Jacobson, A., Baran, I., Popović, J., & Sorkine, O. (2011) · ACM SIGGRAPH 2011 papers · doi:10.1145/1964921.1964973 · Cited by 258 · see citing works
Multiblock ADMM Heuristics for Mixed-Binary Optimization on Classical and Quantum Computers
Gambella, C., & Simonetto, A. (2020) · IEEE Transactions on Quantum Engineering · doi:10.1109/tqe.2020.3033139 · Cited by 60 · see citing works
- Authors
- Andersen, E. D., & Andersen, K. D.
- Venue
- Applied Optimization
- Publisher
- Springer US
- Published
- 2000
- Pages
- 197-232
- ISSN
- 1384-6485 (ISSN-L)
- OpenAlex
- W1596877211
- Cited by
- 766
- References
- 1
- Citations by year
- 2026: 23 · 2025: 51 · 2024: 66 · 2023: 61 · 2022: 79 · 2021: 68 · 2020: 69 · 2019: 50 · 2018: 35 · 2017: 29 · 2016: 21 · 2015: 38 · 2014: 28 · 2013: 12 · 2012: 13
- FWCI
- 15.49
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Applied optimization (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Matrix Theory and Algorithms
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
- Keywords
- interior point methods, linear programming, parallel linear algebra
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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