journal article Jan 01, 2020

A primal-dual interior-point method capable of rapidly detecting infeasibility for nonlinear programs

Yu-Hong Dai Xin-Wei Liu Jie Sun

Journal of Industrial & Management Optimization Vol. 16 No. 2 pp. 1009-1035 · American Institute of Mathematical Sciences (AIMS)

View at Publisher Save 10.3934/jimo.2018190

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The augmented Lagrangian method can approximately solve convex optimization with least constraint violation

Yu-Hong Dai, Liwei Zhang · 2022

Mathematical Programming

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Published: Jan 01, 2020
Vol/Issue: 16(2)
Pages: 1009-1035

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Cite This Article

Yu-Hong Dai, Xin-Wei Liu, Jie Sun (2020). A primal-dual interior-point method capable of rapidly detecting infeasibility for nonlinear programs. Journal of Industrial & Management Optimization, 16(2), 1009-1035. https://doi.org/10.3934/jimo.2018190

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