Optimization Methods
The subtopic Optimization contains materials and calculation tools for the following optimization problems:
-Simplex method
-Integer programming
-Multi-objective optimization (Pareto optimal)
-Nonlinear optimization
-Transport optimization
The Documents & Materials area contains a mathematical description of each calculation tool and tasks (2 tasks each for 3 levels of difficulty).
The following elements are discussed in detail:
Simplex method
-The general linear program
-Geometric interpretation (2 variables)
-The simplex algorithm
-Duality
-Shadow prices
-Dual simplex algorithm
Integer programming
-Types of integer programs
-The Branch & Bound Algorithm
-Special structures: binary programs
Multi-objective optimization (Pareto optimum)
-The general multi-objective optimization problem
-Solution methods
-Pareto front: graphical representation
-Decision support: choosing a solution
Nonlinear optimization
-The general nonlinear problem
-Gradient and Hessian matrix
-Gradient method
-Newton method
-Contour plot - visualization of the objective function
Transportation optimization
-The transport problem
-Starting solution: Northwest corner method
-Starting solution: Minimum cost method
-Starting solution: Vogel approximation (VAM)
-Optimization: MODI method
-Extensive example
| Dokument | Typ | Seiten | Aktionen |
|---|---|---|---|
|
π Simplex method> Mathematical Foundations and User Manual |
Teaching material | 17 | ποΈ open |
|
π Integer programming> Mathematical Foundations and User Manual |
Teaching material | 10 | ποΈ open |
|
π Multi-objective optimization> Mathematical Foundations and User Manual |
Teaching material | 10 | ποΈ open |
|
π Nonlinear optimization> Mathematical Foundations and User Manual |
Teaching material | 13 | ποΈ open |
|
π Transport optimization> Mathematical Foundations and User Manual |
Teaching material | 17 | ποΈ open |
|
π Simplex method> Collection of exercises |
Teaching material | 10 | ποΈ open |
|
π Integer programming> Collection of exercises |
Teaching material | 10 | ποΈ open |
|
π Multi-objective optimization> Collection of exercises |
Teaching material | 11 | ποΈ open |
|
π Nonlinear optimization> Collection of exercises |
Teaching material | 17 | ποΈ open |
|
π Transport optimization> Collection of exercises |
Teaching material | 9 | ποΈ open |
Linear Programming β Tableau Method with Graphical Representation (2 Variables)
πOpen toolBranch and Bound β LP relaxation, branching tree, and tableau steps
π Open toolPareto Front β Weighting Method, Ξ΅-Constraint, and Interactive Visualization
π Open toolGradient Descent & Newton's Method β Iterative Optimization with Visualization
π Open toolNorthwest Corner β’ Minimum Cost β’ Vogel's Approximation β’ MODI Optimization
π Open tool