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Michael Friedlander is a faculty member in the Department of Mathematics at The University of British Columbia. His research interests are not explicitly detailed in the provided information. Friedlander is affiliated with both the Department of Mathematics and the Department of Computer Science. He can be contacted via email at michael.friedlander@ubc.ca or through his personal website at https://www.math.ubc.ca/user/2729. His profile page lists his ORCID and contact details, but no further information about his academic background or specific research areas is available.


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Michael P. Friedlander is a Professor of Computer Science and Mathematics at the University of British Columbia, specializing in optimization, convex analysis, mathematical programming, and computational mathematics. His research focuses on developing efficient algorithms for solving large-scale optimization problems, particularly in sparse reconstruction, data fitting, and constrained optimization. He has contributed significantly to the field through the development of solvers like SPGL1 and Sparco, which are widely used in signal processing and machine learning. His work emphasizes theoretical foundations and practical applications, addressing challenges in high-dimensional data analysis and computational efficiency.

Source: google_scholar · 91 words
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