Adaptive augmented Lagrangian methods: algorithms and practical numerical experience
نویسندگان
چکیده
Adaptive augmented Lagrangian methods: algorithms and practical numerical experience Frank E. Curtis, Nicholas I.M. Gould, Hao Jiang & Daniel P. Robinson a Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA b STFC-Rutherford Appleton Laboratory, Numerical Analysis Group, R18, Chilton, OX11 0QX, UK c Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA Published online: 24 Aug 2015.
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ورودعنوان ژورنال:
- Optimization Methods and Software
دوره 31 شماره
صفحات -
تاریخ انتشار 2016