International Journal of Control· 2017Q2
FORCES NLP: an efficient implementation of interior-point methods for multistage nonlinear nonconvex programs
- 236citations
- Q2SCImago
- 2017year
Short summary
FORCES NLP achieves QP-solver speeds for nonlinear programs (NLPs) by using an interior-point method with approximate Hessians and adaptive barrier rules, outperforming IPOPT by up to 10x.
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Numerical AnalysisMathematics