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Personal profile

Research Interests

Professor Nocedal research interests are in optimization and its application in machine learning and in disciplines involving differential equations. He specializes in nonlinear optimization, both convex and non-convex; deterministic and stochastic. There is a need for solving ever larger optimization problems, and throughout the years, he has developed algorithms that scale well with the number of variables, make judicious use of second-order information, and parallelize well. The motivation for his current algorithmic and theoretical research stems from applications in image and speech recognition, recommendation systems, and search engines.

Education/Academic qualification

Mathematical Sciences, PhD, Rice University

… → 1978

Physics, BSc, National University of Mexico

… → 1974


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