Autor: |
Khatibzadeh, Hadi, Mohebbi, Vahid |
Rok vydání: |
2016 |
Předmět: |
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Druh dokumentu: |
Working Paper |
Popis: |
In this paper, the proximal point algorithm for quasi-convex minimization problem in nonpositive curvature metric spaces is studied. We prove $\Delta$-convergence of the generated sequence to a critical point (which is defined in the text) of an objective convex, proper and lower semicontinuous function with at least a minimum point as well as some strong convergence results to a minimum point with some additional conditions. The results extend the recent results of the proximal point algorithm in Hadamard manifolds and CAT(0) spaces. |
Databáze: |
arXiv |
Externí odkaz: |
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