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Linear Programming in Python with PuLP + Marimo

This repository contains typical examples of linear programming problems solved using the PuLP library in Python, along with Marimo for Markdown outputs and interactivity.

List of Problems

  • TSP (Traveling Salesman Problem): Finding the shortest possible route that visits each city exactly once and returns to the origin city.
  • SPP (Shortest Path Problem): Determining the shortest path between two nodes in a weighted graph. Contains variations with baseline path, path with refuelling nodes, and minimax path under bad conditions.
  • WLP (Warehouse Location Problem): Optimizing the placement of warehouses to minimize costs, considering weighting parameter Alpha.
  • SSP (Secret Santa Problem): Assigning gift exchanges among participants while adhering to specific constraints.

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