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.

• 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

Formats available	Standard duration
Live Web Classroom:	6 half-day session(s)	System Requirements
e-Learning:	21 hours/180 day license	System Requirements

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

This course addresses SAS Optimization software.

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

• 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.

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

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

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