The article introduces a framework for modifying Galerkin methods with low-rank corrections to achieve convergence rates similar to minimal-residual schemes. It discusses the computational advantages of Galerkin methods over minimal-residual approaches and presents a new approach that combines the benefits of both. The study includes theoretical analysis, numerical examples, and comparisons with existing methods.
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