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Volume 1, Issue 1, 1 April 2019, Pages 53-61
Abstract. We study continuous descent methods for the minimization of a convex objective function and establish three convergence results for those methods which are generated by regular vector fields. These results improve a known convergence result in the literature.
How to Cite this Article:
Alexander J. Zaslavski, Three convergence results for continuous descent methods with a convex objective function, J. Appl. Numer. Optim. 1 (2019), 53-61.