Jorge Nocedal is a prominent figure in the field of optimization and numerical analysis. He is known for his contributions to the development of algorithms for large-scale optimization problems, particularly in the context of nonlinear programming and machine learning. Nocedal has co-authored influential textbooks and papers in optimization, including works that discuss gradient-based methods and quasi-Newton techniques.
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