Students will learn about the most common numerical optimization algorithms for solving smooth unconstrained and constrained optimization problems. They will understand the theoretical foundation and ...

Edward Rothberg is CEO and Co-Founder of Gurobi Optimization, which produces one of the world’s fastest mathematical optimization solvers. It’s easy to see why many machine learning capabilities—from ...

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 ...

Professor Ruszczynski’s interests are in the theory, numerical methods and applications of stochastic optimization. He is author of "Nonlinear Optimization", "Lectures on Stochastic programming", and ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.

- When the problem is large-scale and high-dimensional (involving a vast number of variables), the computational complexity increases explosively, making the calculations infeasible. - Data may be ...

Global plastic demand is projected to double by 2050, along with proportional increases in greenhouse gas emissions and pollution from mismanaged waste. Currently, over 99% of the plastics produced in ...