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This work discusses efficient techniques for detection in large-dimension multi-user multiple-input multiple-output (MIMO) systems that are highly overdetermined. We exemplify the application of conjugate gradient methods in the setup of our interest and compare its performance with respect to methods based on the Neumann series expansion. We also bring to light some important insights on the performance versus complexity tradeoffs that have not been uplifted before.