Tim Hoheisel

Tim Hoheisel is an Associate Professor in the Department of Mathematics and Statistics at McGill University. His research interests include Nonsmooth Optimization and Variational Analysis. He teaches courses such as Honours Applied Linear Algebra, Nonlinear Optimization, and Linear Optimization. Hoheisel's personal webpage provides additional information about his academic work and contact details. His profile highlights his role within the department and his contributions to mathematical education and research.

Tim Hoheisel is a professor in the Department of Mathematics and Statistics at McGill University, specializing in continuous optimization, nonsmooth optimization, variational analysis, and convex analysis. His research focuses on mathematical programs with vanishing constraints, relaxation methods, and optimization techniques for variational inequalities. Hoheisel has contributed significantly to the development of regularization approaches, smoothing methods, and optimality conditions for non-smooth and constrained optimization problems. His work includes studies on convex composite functions, proximal point methods, and applications in image deblurring and compressed sensing. His research emphasizes theoretical foundations and numerical methods for solving complex optimization problems.