We introduced a new class of fuzzy set-valued variational inclusions with (H,η)-monotone mappings. Using the resolvent operator method in Hilbert spaces, we suggested a new proximal point algorithm for finding approx...We introduced a new class of fuzzy set-valued variational inclusions with (H,η)-monotone mappings. Using the resolvent operator method in Hilbert spaces, we suggested a new proximal point algorithm for finding approximate solutions, which strongly converge to the exact solution of a fuzzy set-valued variational inclusion with (H,η)-monotone. The results improved and generalized the general quasi-variational inclusions with fuzzy set-valued mappings proposed by Jin and Tian Jin MM, Perturbed proximal point algorithm for general quasi-variational inclusions with fuzzy set-valued mappings, OR Transactions, 2005, 9(3): 31-38, (In Chinese); Tian YX, Generalized nonlinear implicit quasi-variational inclusions with fuzzy mappings, Computers & Mathematics with Applications, 2001, 42: 101-108.展开更多
In this paper, we prove a strong convergence theorem for resolvents of accretive operators in a Banach space by the viscosity approximation method with a generalized contraction mapping. The proximal point algorithm i...In this paper, we prove a strong convergence theorem for resolvents of accretive operators in a Banach space by the viscosity approximation method with a generalized contraction mapping. The proximal point algorithm in a Banach space is also considered. The results extend some very recent theorems of W. Takahashi.展开更多
The problem concerned in this paper is the set-valued equation 0 ∈ T(z) where T is a maximal monotone operator. For given xk and βk >: 0, some existing approximate proximal point algorithms take $x^{k + 1} = \til...The problem concerned in this paper is the set-valued equation 0 ∈ T(z) where T is a maximal monotone operator. For given xk and βk >: 0, some existing approximate proximal point algorithms take $x^{k + 1} = \tilde x^k $ such that $$x^k + e^k \in \tilde x^k + \beta _k T(\tilde x^k ) and \left\| {e^k } \right\| \leqslant \eta _k \left\| {x^k - \tilde x^k } \right\|,$$ where ?k is a non-negative summable sequence. Instead of $x^{k + 1} = \tilde x^k $ , the new iterate of the proposing method is given by $$x^{k + 1} = P_\Omega [\tilde x^k - e^k ],$$ where Ω is the domain of T and PΩ(·) denotes the projection on Ω. The convergence is proved under a significantly relaxed restriction supK>0 ηKη1.展开更多
基金the Natural Science Foundation of China (No. 10471151)the Educational Science Foundation of Chongqing (KJ051307).
文摘We introduced a new class of fuzzy set-valued variational inclusions with (H,η)-monotone mappings. Using the resolvent operator method in Hilbert spaces, we suggested a new proximal point algorithm for finding approximate solutions, which strongly converge to the exact solution of a fuzzy set-valued variational inclusion with (H,η)-monotone. The results improved and generalized the general quasi-variational inclusions with fuzzy set-valued mappings proposed by Jin and Tian Jin MM, Perturbed proximal point algorithm for general quasi-variational inclusions with fuzzy set-valued mappings, OR Transactions, 2005, 9(3): 31-38, (In Chinese); Tian YX, Generalized nonlinear implicit quasi-variational inclusions with fuzzy mappings, Computers & Mathematics with Applications, 2001, 42: 101-108.
文摘In this paper, we prove a strong convergence theorem for resolvents of accretive operators in a Banach space by the viscosity approximation method with a generalized contraction mapping. The proximal point algorithm in a Banach space is also considered. The results extend some very recent theorems of W. Takahashi.
基金This work was supported by the National Natural Science Foundation of China(Grant No. 10271054), Natural Science Foundation of Jiangsu Province (Grant No. BK2002075) and grant FRG/00-01/11-63 of Hong Kong Baptist University.
文摘The problem concerned in this paper is the set-valued equation 0 ∈ T(z) where T is a maximal monotone operator. For given xk and βk >: 0, some existing approximate proximal point algorithms take $x^{k + 1} = \tilde x^k $ such that $$x^k + e^k \in \tilde x^k + \beta _k T(\tilde x^k ) and \left\| {e^k } \right\| \leqslant \eta _k \left\| {x^k - \tilde x^k } \right\|,$$ where ?k is a non-negative summable sequence. Instead of $x^{k + 1} = \tilde x^k $ , the new iterate of the proposing method is given by $$x^{k + 1} = P_\Omega [\tilde x^k - e^k ],$$ where Ω is the domain of T and PΩ(·) denotes the projection on Ω. The convergence is proved under a significantly relaxed restriction supK>0 ηKη1.
