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Solving Large Rank-Deficient Linear Least-Squares Problems on Shared-Memory CPU Architectures and GPU Architectures
Solving very large linear systems of equations is a key computational task in science and technology. In many cases, the coefficient matrix of the linear system is rank-deficient, leading to systems that may be underdetermined, inconsistent, or both. In such cases, one generally seeks to compute the least squares solution …