Method of Corners (Graphical Method)
Visualize the feasible region, corner points, and optimal solution for 2-variable linear programming problems.
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Interactive optimization tools — from graphical linear programming (feasible regions and the method of corners) to continuous minimization with gradient descent and Newton's method.
Interactive tools for exploring optimization — both linear programming and continuous (unconstrained) minimization.
Graphical Methods
- Method of Corners — visualize the feasible region, identify corner points, and find the optimal solution for 2-variable linear programs
Continuous Optimization
- Quadratic Minimization — minimize an unconstrained convex quadratic with gradient descent or Newton's method; visualize iterates in 3D, step sizes, a user-defined stopping tolerance, and convergence
Tool Descriptions
Quadratic Minimization
Minimize an unconstrained convex quadratic with gradient descent or Newton's method. Visualize iterate arrows on the 3D bowl and their projection on the plane, step sizes, a user-defined stopping tolerance, and convergence.
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