The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
CVXGEN: a code generator for embedded convex optimization
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Citations
Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Self-citationThe Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Disciplined Convex Programming
Grant, M., Boyd, S., & Ye, Y. (2006) · Nonconvex Optimization and Its Applications · doi:10.1007/0-387-30528-9_7 · Cited by 1,026
Self-citation
Cited by
Parikh, N., & Boyd, S. (2014) · Foundations and Trends® in Optimization · doi:10.1561/2400000003 · Cited by 4,102
Self-citationPredictive Control for Linear and Hybrid Systems
Borrelli, F., Bemporad, A., & Morari, M. (2017) · Cambridge University Press eBooks · doi:10.1017/9781139061759 · Cited by 1,443
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
acados—a modular open-source framework for fast embedded optimal control
Verschueren, R., Frison, G., Kouzoupis, D., Frey, J., Duijkeren, N. V., Zanelli, A., Novoselnik, B., Albin, T., Quirynen, R., & Diehl, M. (2022) · Mathematical Programming Computation · doi:10.1007/s12532-021-00208-8 · Cited by 485
CVXPY: A Python-Embedded Modeling Language for Convex Optimization
Diamond, S., & Boyd, S. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1603.00943 · Cited by 462
Self-citation
Metadata
- Authors
- Mattingley, J., & Boyd, S.
- Venue
- Optimization and Engineering
- Published
- 2011-11-06
- Volume
- 13
- Issue
- 1
- Pages
- 1-27
- ISSN
- 1389-4420 (ISSN-L)
- 1573-2924
- OpenAlex
- W2117402460
- Cited by
- 790
- References
- 3
- FWCI
- 47.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: CVXGEN: a code generator for embedded convex optimization. https://app.cochat.ai/papers/10.1007/s11081-011-9176-9
- The paper
- Mattingley, J., & Boyd, S. (2012). CVXGEN: a code generator for embedded convex optimization. Optimization and Engineering. https://doi.org/10.1007/s11081-011-9176-9
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.
