Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

The death of mathematician George Dantzig is a scientific watershed. Dantzig developed "linear programming" and the simplex method, used to solve complex efficiency problems for large ...

K. C. Jordi, D. Peddie, A Wildlife Management Problem: A Case Study in Multiple-Objective Linear Programming, The Journal of the Operational Research Society, Vol. 39 ...

You will review the foundational mathematics that are critical in data science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. This specialization is also an ...