This course studies the formulation and solution of nonlinear optimization models arising in AI, finance, and engineering design. Methods include gradient, stochastic gradient, and Newton methods.

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 ...