Daniel B. Szyld is a mathematician known for his work in numerical linear algebra, particularly in the areas of iterative methods for solving large systems of linear equations, eigenvalue problems, and matrix theory. He has contributed to the development of algorithms and theoretical insights in these fields, often focusing on the efficiency and accuracy of numerical methods.
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