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application/pdf10.1080/10556788.2016.1208749application/pdf10.1080/10556788.2016.1208749enTaylor & Francis
A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles
Frank E. Curtis; Tim Mitchell; Michael L. OvertonTim MitchellMichael L. Overton
Optimization Methods & Software, 2015. doi: 10.1080/10556788.2016.1208749
nonconvex optimizationnonsmooth optimizationconstrained optimizationsequential quadratic optimizationexact penalty methodsbenchmarkingperformance profilescomputational budget
LaTeX with hyperref package2016-07-14T07:33:30+05:302016-10-17T15:10:09-07:002016-10-17T15:10:09-07:0025660JPEG/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
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iText 4.2.0 by 1T3XTnonconvex optimization; nonsmooth optimization; constrained optimization; sequential quadratic optimization; exact penalty methods; benchmarking; performance profiles; computational budgetJournalOptimization Methods &SoftwareCopyright Taylor & Francis1055-67881029-493700110.1080/10556788.2016.1208749http://dx.doi.org/10556788.2016.1208749VoR
10.1080/10556788.2016.1208749http://dx.doi.org/10556788.2016.12087492016-07-20truewww.tandfonline.com10.1080/10556788.2016.1208749www.tandfonline.comtrue2016-07-2010.1080/10556788.2016.1208749application/pdf10.1080/10556788.2016.1208749enTaylor & Francis
A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles
Frank E. Curtis; Tim Mitchell; Michael L. OvertonTim MitchellMichael L. Overton
Optimization Methods & Software, 2015. doi: 10.1080/10556788.2016.1208749
nonconvex optimizationnonsmooth optimizationconstrained optimizationsequential quadratic optimizationexact penalty methodsbenchmarkingperformance profilescomputational budget
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