Yurii Nesterov is a prominent Ukrainian mathematician known for his contributions to optimization, particularly in the field of convex optimization. He is recognized for developing the Nesterov accelerated gradient method, which is a significant algorithm used for solving convex optimization problems more efficiently than traditional gradient descent methods. His work has had a substantial impact on various applications in machine learning, statistics, and operations research.
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