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| Modules: A short outline of the concept "module" and the modules to be developed in this project. You should read this page if you want to participate in this project. |
| Row Operations: An interactive computing facility for elementary row operations, including pivoting. it provides training for the simplex method. |
| Geee Park: A simple animation of movement of bodies subject to gravitational forces. Can be used to illustrate functions of several variables and related topics in optimization theory. |
| Die Hard at the Pub: An animated dynamic programming treatment of the famous Die Hard at the Pub problem. |
| Virtual Duality: A facility that formulates the dual of a linear programming problem. Useful in studying the relationship between the primal and dual linear programming problems. |
| N-Queens problem: An animation of the famous N-Queens combinatorial optimization problem. The Flag Example of constraint programming. |
| 8 Easy Pieces An animation of the famous 8 Easy Pieces Game. Good example to illustrate various implicit enumeration methods for discrete optimization problems. |
| Linear Equations: An interactive computing facility to solve systems of linear equations. A useful training tool for the simplex method. |
| Matrix Inverse: An interactive computing facility to invert matrices. A useful training tool for the simplex method. |
| The Simplex Place: An interactive computing facility for the simplex method. A useful training tool for the simplex method. |
| Towers of Hanoi Puzzle: An interactive animation facility for this famous puzzle. A useful training tool for the dynamic programming solution for this problem. |
| Shortest Path Problem: An interactive computational facility for the classical shortest path problem. |
| Dijkstra's Algorithm: An interactive computational facility for Dijkstra's Algorithm for the shortest path problems (where cycles are allowed, but distances must be nono-negative) |
| Knapsack Problem: Interactive computational facilities (branch and bound and dynamic programming) for various versions of the classical knapsack problem. |