Real and complex analysis, 3rd ed.
Real and complex analysis, 3rd ed.
Nonlinear functional analysis and its applications
Nonlinear functional analysis and its applications
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Some aspects of the parallel and distributed iterative algorithms—a survey
Automatica (Journal of IFAC)
Convex analysis and variational problems
Convex analysis and variational problems
A Weak-to-Strong Convergence Principle for Fejé-Monotone Methods in Hilbert Spaces
Mathematics of Operations Research
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A block-iterative surrogate constraint splitting method for quadratic signal recovery
IEEE Transactions on Signal Processing
Transmit beamforming and power control for cellular wireless systems
IEEE Journal on Selected Areas in Communications
Diffusion least-mean squares with adaptive combiners: formulation and performance analysis
IEEE Transactions on Signal Processing
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This paper presents a framework of iterative algorithms for the variational inequality problem over the Cartesian product of the intersections of the fixed point sets of nonexpansive mappings in real Hilbert spaces. Strong convergence theorems are established under a certain contraction assumption with respect to the weighted maximum norm. The proposed framework produces as a simplest example the hybrid steepest descent method, which has been developed for solving the monotone variational inequality problem over the intersection of the fixed point sets of nonexpansive mappings. An application to a generalized power control problem and numerical examples are demonstrated.