A relaxed projection method for variational inequalities
Mathematical Programming: Series A and B
On some optimization techniques in image reconstruction from projections
Applied Numerical Mathematics - Applications of optimization
Some aspects of variational inequalities
Journal of Computational and Applied Mathematics
Differential Inclusions: Set-Valued Maps and Viability Theory
Differential Inclusions: Set-Valued Maps and Viability Theory
Improvements of some projection methods for monotone nonlinear variational inequalities
Journal of Optimization Theory and Applications
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Let 驴 and C be nonempty, closed and convex sets in R n and R m respectively and A be an $${m \times n}$$ real matrix. The split feasibility problem is to find $${u \in \Omega}$$ with $${Au \in C.}$$ Many problems arising in the image reconstruction can be formulated in this form. In this paper, we propose a descent-projection method for solving the split feasibility problems. The method generates the new iterate by searching the optimal step size along the descent direction. Under certain conditions, the global convergence of the proposed method is proved. In order to demonstrate the efficiency of the proposed method, we provide some numerical results.