We will use DOcplex to write small samples to illustrate the topics It requires either an installation of CPLEX Optimizers or it can be run on IBM Watson Studio Cloud (Sign up for a free IBM Cloud accountĪnd you can start using Watson Studio Cloud right away). This notebook is part of Prescriptive Analytics for Python You should also be able to construct a simple MIP model. This notebook describes some special cases of LP, as well as some other non-LP techniques, and also under which conditions they should be used.īefore continuing, you should ensure you followed the CPLEX Tutorial Part 1.Īfter completing this unit, you should be able to describe what a network model is, and the benefits of using network models, explain the concepts of nonlinearity and convexity, describe what a piecewise linear function is, and describe the differences between Linear Programming (LP), Integer Programming (IP), Mixed-Integer Programming (MIP), and Quadratic Programming (QP). ![]() Tutorial: Beyond Linear Programming, (CPLEX Part2)
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |