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Intro
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Classroom Contents
Building AI Solutions with Google OR-Tools
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- 1 Intro
- 2 What do I mean by "Artificial Intelligence"?
- 3 Types of Al Models
- 4 Constraint-Based Optimization
- 5 Classes of Problems
- 6 Feasibility vs. Optimization
- 7 Constraint: A Required Condition
- 8 Types of constraints
- 9 Objective: A Goal for the Solution
- 10 Constraint Programming: Sudoku
- 11 Linear Example: Pete's Pottery Paradise
- 12 Pottery Production - Solution Space
- 13 Pottery Production - The Polytope
- 14 Defining an Optimization Model
- 15 Decision Variables
- 16 Execute the Model
- 17 Mixed-Integer Example: Scheduling
- 18 LP Model - Variables
- 19 LP Model - Constraints
- 20 MIP Model - Variables
- 21 MIP Model - Constraints
- 22 MIP Model - Objective Example
- 23 Summary
- 24 Resources
