Linear Programming BasicsCovers the basics of linear programming, defining corners, extreme points, and feasible solutions within polyhedrons.
Linear Programming DualityExplores Linear Programming Duality, covering weak duality, strong duality, Lagrange multipliers interpretation, and optimization constraints.
Linear Programming BasicsCovers the basics of linear programming and the simplex method, focusing on finding optimal solutions and handling degeneracy.
Max-Flow Min-CutExplores the Ford Fulkerson algorithm, Max-Flow Min-Cut theorem, Incidence matrix, and network optimization complexity.
Graphs and matricesExplores graphs and matrices, including adjacency, degree, and Laplace matrices, Matrix-tree theorem, and spanning trees.
Designing Pavilion StructuresExplores the design process of pavilion structures, emphasizing the creation of a topological polyhedron as the foundation document.