LPOpen: Последни дейности

Начална страница Shared Space

Linear Programming: Всички участници

Дейности

Групи

Нареждане по

Разрешаване

LP modelling

Тест I read the course
Virtual programming lab Play with the example of the user guide
Virtual programming lab Sand Box
Virtual programming lab Cucumbers and onions (example from the course)
Virtual programming lab Vegetables (example from the course)
Virtual programming lab Usine chimique
Virtual programming lab German Wines - Vins allemands (solution available)
Virtual programming lab Perfumes
Virtual programming lab Advertizing - Publicités (solution available)
Virtual programming lab Dairy Products
Virtual programming lab Airline - Compagnie aérienne
Virtual programming lab Steel
Virtual programming lab Apples (mélanges)
Virtual programming lab Recyclage de plastique (mélanges)
Virtual programming lab The teapot - Le pot de terre et la théière (flot)
Virtual programming lab Airline - Compagnie aérienne with external data
Virtual programming lab Management of a water network
Virtual programming lab Production of wines with external data
Virtual programming lab Bill Of Materials

LP solving

Тест Transformation betweeen forms
Тест Changing forms step by step
GeoGebra Draw LPs in 2D with Geogebra
GeoGebra Graphical representation of Cucumbers and onions with Geogebra
Тест Towards a solution
Тест Bases
Тест Go further with bases **
Тест I read the course again (basis and simplex algorithm)
Тест Let's pivot
Тест Phase I *
Virtual programming lab A CPLEX Example

Duality ☯

Virtual programming lab Dual program
Virtual programming lab Vitamins
Virtual programming lab Vitamins (Q2)
Virtual programming lab Cucumber and onions culture (again!)
Virtual programming lab Wines (Q1)
Virtual programming lab Wines (Q2)
Тест I read the Duality course
Тест Application du théorème des écarts complémentaires
Тест The primal
Тест The dual
Virtual programming lab A lab for the primal
Virtual programming lab A lab for the dual

Sensitivity analysis

Place for contributors

Форум Ideas and contributions for linear programming