Lesson 7

19 Fevereiro 2026, 08:00 • Cristina Requejo

• Principles of the Simplex method.
• Optimality condition.
• Feasibility condition.
• The path of the Simplex algorithm.

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Lesson 6

12 Fevereiro 2026, 08:00 • Cristina Requejo

·         Properties of LP models

·         Obtain extreme points.

·         Degenerate solutions.

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Lesson 5

10 Fevereiro 2026, 10:00 • Cristina Requejo

1.      2. The Simplex method

·         Basic solutions.

·         Extreme points: identification and interpretation.

·         Properties of LP models

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Lesson 4

5 Fevereiro 2026, 08:00 • Cristina Requejo

•      Representing LP models: canonical forms and standard form of an LP, reformulation operations.

•      Some convexity results: convex set, polytope, polyhedron, extreme point, ray, extreme ray.

• Feasible solution set of an LP model as convex combination of extreme points, and as extreme points and extreme rays.

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Lesson 3

3 Fevereiro 2026, 10:00 • Cristina Requejo

·      .   Modeling several examples of LP problems;

. Assumptions of LP.

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