This course focuses on formulating and solving mathematical optimization models using the OPTMODEL procedure, from inputting data to interpreting output and generating reports. The course covers smooth and non-smooth models with continuous and integer decision variables. Advanced capabilities, such as control flow, multiple models, and network optimization, leverage the power of SAS Viya to solve complicated business problems.

Learn how to

• Integrate programs that build and solve optimization models with other SAS procedures.
• Use operators and tools to perform sensitivity analysis and analyze optimization models.
• Solve complex business problems using column generation, constraint generation, and decomposition approaches.

Who should attend

Anyone who wants to formulate and solve linear, integer, mixed integer, or nonlinear problems using SAS/OR software

Formats available	Duration
Classroom:	3 days
Live Web Classroom:	6 half-day session(s)
e-Learning:	21 hours/180 day license

Before attending this course, you should complete the course Optimization Concepts for Data Science and Artificial Intelligence.

This course addresses SAS Optimization software.

Review Optimization Concepts for Data Science and Artificial Intelligence

• Review of prerequisite course.
• Data Envelopment Analysis model.

SAS Optimization in SAS Studio

• Submitting PROC OPTMODEL programs in SAS Studio.
• Reading data from SAS data sets.
• Writing formatted output and creating SAS data sets.
• Integrating PROC OPTMODEL programs with SAS.

Operators, Tools, and Control Flow in PROC OPTMODEL

• PROC OPTMODEL operators for expressions and sets.
• Tools for solving and analyzing optimization models.
• Basic control flow in PROC OPTMODEL.

Network Optimization and Solving Models with Network Structure in PROC OPTMODEL

• Network structure.
• The NETWORK solver in PROC OPTMODEL.

Nonlinear Models with Binary or Integer Decision Variables

• Models with non-smooth functions.
• Models with smooth functions.