Optimization Concepts For Data Science And Artificial Intelligence
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Introduction to Mathematical Optimization: Introduction - A simple example - The OPTMODEL procedure.
Linear Programming: Introduction to linear programming - Formulating and solving linear programming problems using the OPTMODEL procedure - Using index sets and arrays in the OPTMODEL procedure - Dual values and reduced costs in the simplex method (self-study) - Applied data envelopment analysis (self-study) - Reading SAS data sets (self-study).
Nonlinear Programming: Introduction to nonlinear programming - Solving nonlinear programming problems using the OPTMODEL procedure.
Integer and Mixed-Integer Linear Programming: Introduction to integer and mixed-integer linear programming - Solving integer and mixed-integer linear programming problems using PROC OPTMODEL.
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