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Convergence of a proximal point algorithm for solving minimization problems
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نویسنده
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hamdi a. ,noor m.a. ,mukheimer a.a.
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منبع
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journal of applied mathematics - 2012 - دوره : 2012 - شماره : 0
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چکیده
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We introduce and consider a proximal point algorithm for solving minimization problems using the technique of güler. this proximal point algorithm is obtained by substituting the usual quadratic proximal term by a class of convex nonquadratic distance-like functions. it can be seen as an extragradient iterative scheme. we prove the convergence rate of this new proximal point method under mild assumptions. furthermore,it is shown that this estimate rate is better than the available ones. copyright © 2012 abdelouahed hamdi et al.
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آدرس
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department of mathematics,prince sultan university,p.o. box 66833, Saudi Arabia, mathematics department,comsats institute of information technology, Pakistan, department of mathematics,prince sultan university,p.o. box 66833, Saudi Arabia
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Authors
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