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Alexander Vladimirsky is a Professor in the Department of Mathematics at Cornell University. He earned his Ph.D. in Applied Mathematics from the University of California, Berkeley in 2001, and his B.A. in Applied Mathematics with high honors from the same institution in 1995. His research interests focus on applied mathematics, specifically in numerical methods, dynamical systems, nonlinear partial differential equations (PDEs), and control theory. He explores the effects of anisotropy and inhomogeneity, along with the analytic properties of differential equations. Vladimirsky’s work also emphasizes computational efficiency in solving discrete and continuous nonlinear problems, particularly in the context of optimal control and information flow dynamics. His contributions include developing numerical schemes for nonlinear static PDEs and methods for approximating invariant manifolds of vector fields. In collaboration with colleagues, he has tackled various complex numerical challenges in diverse fields such as stochastic control and chemical kinetics.
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