Logical matrix

Related lectures (31)

Page 3 of 4

Introduces the basics of graphs and networks, covering definitions, paths, trees, flows, circulation, and spanning trees.

Covers the process of finding a base from a system of generators in linear algebra.

Explores the concept of rank in 3x3 matrix representations and how it determines the structure of matrices.

Explores graph theory, stochastic matrices, consensus algorithms, and spectral properties in networked control systems.

Delves into linear equations, vector spaces, and matrix operations, exploring solutions and representations through examples and algebraic methods.

Covers matrix representations of linear applications in R³ and the invariance of rank.

Explores the Laplacian matrix in electric and mechanical networks, consensus, and properties of Laplacian matrices in networked control systems.

Explores the Matrix Tree Theorem and its application in calculating spanning trees in graphs.

Explores network flows, simplex method, linear programming, tree solutions, and dual solutions in optimization problems.

Covers the quantization of topological operators and Ising models on square lattices.