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Course fee and EPTO/APTO units differ for on-site training.Building and Solving Optimization Models with SAS/OR
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Duration: 3.0 days Course fee: $1,725 EPTO units: 3.3 CEUs: 1.8 | ||
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This course focuses on formulating and solving mathematical optimization using the OPTMODEL procedure, from inputting data to interpreting output and generating reports. The course covers linear, integer, mixed-integer, and nonlinear programming problems, with an emphasis on model formulation and construction.
Learn how to
- formulate and solve linear programming problems using the OPTMODEL procedure
- solve integer and mixed-integer programming problems using PROC OPTMODEL
- solve nonlinear programming problems using PROC OPTMODEL.
Who should attend
Anyone who wants to formulate and solve linear, integer, mixed-integer, or nonlinear problems using SAS/OR software
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Prerequisites
Before attending this course, you should
- have completed an undergraduate course in operations research that covers linear programming or have recent experience using linear programming or be comfortable with matrix algebra.
- be able to execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming I: Essentials course.
Course Contents
Introduction to Mathematical Optimization
- overview of mathematical optimization
- simple examples
- the OPTMODEL procedure
- introduction to linear programming
- formulating and solving linear programming problems using the OPTMODEL procedure
- reading data from SAS data sets
- writing output from the OPTMODEL procedure
- dual values, reduced costs, and pricing in the simplex method
- basic control flow in the OPTMODEL procedure
- model updates in the OPTMODEL procedure
- sensitivity analysis and parametric programming (self-study)
- network flow models
- introduction to integer and mixed-integer linear programming
- solving integer and mixed-integer programming problems using the OPTMODEL procedure
- modeling using binary variables
- mixed-integer linear programming solver options (self-study)
- introduction to nonlinear programming
- solving nonlinear programming problems using the OPTMODEL procedure
- nonlinear optimization methods in the OPTMODEL procedure
- additional examples (self-study)
- the NLP procedure and OPTMODEL procedure (self-study)
Software
This course addresses SAS/OR.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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