Data for a linear programming problem resembles the data for side constraints and nonarc variables supplied to PROC NETFLOW when solving a constrained network problem. It is also very similar to the ...

The objective of this course is to introduce models and computational methods for static and dynamic optimization problems occurring in finance. Special attention will be devoted to portfolio ...

and generalized linear and additive models. Emphasis is placed on analyzing real data using the R programming language. By completing this specialization, you will be able to: Correctly analyze and ...