Iteration 1 Summary
Business Context: A high school aims to optimize student social engagement by maximizing mutual friendships. Each student can have a limited number of friends, and the goal is to maximize mutual friendships within these constraints.
Optimization Problem: Maximize the number of mutual friendships among students, where a mutual friendship is defined as a pair of students who both list each other as friends. Each student can have a limited number of friends, and the optimization will determine the optimal set of friendships to maximize mutual connections.
Objective: maximize ∑(x_ij + x_ji) for all i, j where x_ij and x_ji are binary variables indicating if student i considers student j a friend and vice versa
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include adding a table for constraint bounds and updating configuration logic for scalar parameters. The 'max_friends' constraint is moved to configuration logic due to insufficient data for a table.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 1

Triple Expert Data: Values were generated to reflect a realistic high school social network where each student can have up to 5 friends, ensuring a diverse set of mutual friendships.