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Merge pull request #505 from Quantum-Software-Development/FabianaCampanari-patch-1
Update README.md
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README.md

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<br>
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$$
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\
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\begin{array}{c|ccc|c}
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& D1 & D2 & D3 & \text{Supply} \\
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\hline
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O1 & 0 & 20 & 0 & 20 \\
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O2 & 5 & 25 & 0 & 30 \\
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O3 & 0 & 10 & 0 & 10 \\
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A & 20 & 1 & 5 & 6 \\
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\hline
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\text{Demand} & 25 & 36 & 5 & 66 \\
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\end{array}
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\
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$$
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| | D1 | D2 | D3 | Supply |
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|------|----|----|----|--------|
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| O1 | 0 | 20 | 0 | 20 |
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| O2 | 5 | 25 | 0 | 30 |
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| O3 | 0 | 10 | 0 | 10 |
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| A | 20 | 1 | 5 | 6 |
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| | | | | |
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| **Demand** | 25 | 36 | 5 | **66** |
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🟡 The values in the matrix represent the **quantities transported**.
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🟠 Quantities from the dummy origin A represent **unsatisfied demand**.
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## 🧠 Relation to Algorithms
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## 📈 Transportation Algorithm & Simplex Connection:
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## 🧭 Northwest Corner Method (Método do Canto Noroeste)
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## 💸 Least Cost Method (Método do Custo Mínimo)
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## 🔍 Link to Risk Analysis
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### 🔍 Link to Risk Analysis
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- Unbalanced models simulate **shortage/surplus risks**.
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- Dummy rows/columns help visualize **operational failures**.
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## 📐 Initial Basic Feasible Solution
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### 📐 Initial Basic Feasible Solution
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A basic feasible solution must:
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1. Satisfy **all row (supply)** and **column (demand)** constraints.
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These principles ensure a **non-degenerate** starting point for iterative improvement algorithms like MODI.
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## 🧩 Summary
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