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The new column design method is developed separately for two cases columns producing pure components, and columns performing general splits.
In general, splits higher up in the processing chain offer less centralization gains in terms of RRU size and cooperative processing, while reducing the requirements in terms of fronthaul data rate, latency, and synchronization.
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Under suitable conditions, we prove that the sequences generated by the proposed new algorithm converges strongly to a solution of the general split equality fixed point problem and the general split equality problem for quasi-nonexpansive mappings in Hilbert spaces.
Under suitable conditions, we prove that the sequence generated by the proposed new algorithm converges strongly to a solution of the general split variational inclusion problem.
That said, the general split between the growing area of affluence around the Loop and the Near North Side and the outlying neighborhoods is undeniably real.
Otherwise, Mohammad and Abdul [23] considered a general split feasibility in infinite-dimensional real Hilbert spaces.
We consider a general split feasibility problem which is different from the one in [23].
We introduce and study a new general split feasibility problem (GSFP) in a Hilbert space.
More recently, Eslamian and Latif [13], Chen et al. [14], Chuang [15] and Chang and Wang [16] introduced and studied some kinds of general split feasibility problem, general split equality problem, and split variational inclusion problem in real Hilbert spaces.
The purpose of this paper is to introduce and study the general split equality problem and general split equality fixed point problem in the setting of infinite-dimensional Hilbert spaces.
For solving the GSEFP (1.7) and GSEP (1.8), in Sections 3 and 4, we propose an algorithm for finding the solutions of the general split equality fixed point problem and general split equality problem in a Hilbert space.
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