This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

today released its 2023 State of Mathematical Optimization in Data Science report. The report is based on a survey of 569 data scientists and offers critical insights into the changing landscape ...

The Optimization, Data, and Decision Science (ODDS) Lab, established in late 2023 under the leadership of Dr. Ilgin Acar, represents a dynamic hub for cutting-edge research at the intersection of ...

These data sets can then be used to train ... physics-informed neural networks, and topology optimization methods, Light: Science & Applications (2023). DOI: 10.1038/s41377-023-01218-y ...

The Michigan Tech Data Science MS provides ... of unconstrained and constrained optimization problems and nonlinear equations. Topics include optimality conditions, local convergence of Newton and ...

is pleased to announce the release of its annual State of Mathematical Optimization in Data Science report. Based on a survey of 1,086 data scientists worldwide, the report offers insight into how ...