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The purpose of this work is to provide a broader framework for analyzing the inhomogeneous nonlinear Schrödinger equation (INLS) Specifically, we establish low-regularity well-posedness in the Fourier-Lebesgue spaces for . The analysis is carried out differently for the cases and . Primarily, in both cases, we prove global well-posedness for arbitrarily large initial data via the data decomposition method adapted for the Fourier-Lebesgue spaces. Furthermore, we obtain analogous results for INLS in modulation spaces for .

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