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Level 2 – Resources for Beginners

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Level 1 (Part 1) – Introduction for Data Scientists

In this video, Gurobi CEO and Co-founder Dr. Ed Rothberg explains how mixed-integer programming (MIP) combines expressiveness and robustness to produce high-quality, reliable solutions.

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LP Ch.14: Dual Simplex Method

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LP Ch.13: Optimality Conditions

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LP Ch.12: Duality in Linear Programming

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LP Ch.11: Linear Programming Overview - Further Considerations

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LP Ch.10: Infeasible Linear Programming Problems

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LP Ch.09: Unbounded Linear Programming Problems

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Resource > Training

LP Ch.08: Multiple Optimal Solutions

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LP Ch.07: Sensitivity Analysis of Linear Programming Problems

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Resource > Training

LP Ch.06: Modeling and Solving Linear Programming Problems

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LP Ch.5: Linear Programming with the Simplex Method

Understanding the simplex method for solving linear programming problems.

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Level 2 – Resources for Beginners

Level 1 (Part 1) – Introduction for Data Scientists

LP Ch.14: Dual Simplex Method

LP Ch.13: Optimality Conditions

LP Ch.12: Duality in Linear Programming

LP Ch.11: Linear Programming Overview - Further Considerations

LP Ch.10: Infeasible Linear Programming Problems

LP Ch.09: Unbounded Linear Programming Problems

LP Ch.08: Multiple Optimal Solutions

LP Ch.07: Sensitivity Analysis of Linear Programming Problems

LP Ch.06: Modeling and Solving Linear Programming Problems

LP Ch.5: Linear Programming with the Simplex Method

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