Operations Research with SAS® Optimization
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Operations Research with SAS® Optimization
Duration: 21 hours
ORSA : ORSA35
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
    Prerequisites
    Before attending this course, you should complete the course Optimization Concepts for Data Science and Artificial Intelligence.
    SAS Products Covered
    SAS Optimization
    Course Outline
    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.
  • THIS COURSE IS PART OF

    SAS Prescriptive Analytics​ Learning Subscription



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