enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Kirchhoff's theorem - Wikipedia

    en.wikipedia.org/wiki/Kirchhoff's_theorem

    In the mathematical field of graph theory, Kirchhoff's theorem or Kirchhoff's matrix tree theorem named after Gustav Kirchhoff is a theorem about the number of spanning trees in a graph, showing that this number can be computed in polynomial time from the determinant of a submatrix of the graph's Laplacian matrix; specifically, the number is equal to any cofactor of the Laplacian matrix.

  3. Laplacian matrix - Wikipedia

    en.wikipedia.org/wiki/Laplacian_matrix

    In models of such networks, the entries of the adjacency matrix are complex, but the Kirchhoff matrix remains symmetric, rather than being Hermitian. Such a matrix is usually called an " admittance matrix ", denoted Y {\displaystyle Y} , rather than a "Laplacian".

  4. Kirchhoff's circuit laws - Wikipedia

    en.wikipedia.org/wiki/Kirchhoff's_circuit_laws

    A matrix version of Kirchhoff's current law is the basis of most circuit simulation software, such as SPICE. The current law is used with Ohm's law to perform nodal analysis. The current law is applicable to any lumped network irrespective of the nature of the network; whether unilateral or bilateral, active or passive, linear or non-linear.

  5. Incidence matrix - Wikipedia

    en.wikipedia.org/wiki/Incidence_matrix

    The incidence matrix of an incidence structure C is a p × q matrix B (or its transpose), where p and q are the number of points and lines respectively, such that B i,j = 1 if the point p i and line L j are incident and 0 otherwise. In this case, the incidence matrix is also a biadjacency matrix of the Levi graph of the structure.

  6. Deletion–contraction formula - Wikipedia

    en.wikipedia.org/wiki/Deletion–contraction_formula

    By Kirchhoff's theorem, the number of spanning trees in a graph is counted by a cofactor of the Laplacian matrix. However, the Laplacian characteristic polynomial does not satisfy DC. By studying Laplacians with vertex weights, one can find a deletion-contraction relation between the scaled vertex-weighted Laplacian characteristic polynomials. [4]

  7. Nodal admittance matrix - Wikipedia

    en.wikipedia.org/wiki/Nodal_admittance_matrix

    The nodal admittance matrix of a power system is a form of Laplacian matrix of the nodal admittance diagram of the power system, which is derived by the application of Kirchhoff's laws to the admittance diagram of the power system.

  8. Gustav Kirchhoff - Wikipedia

    en.wikipedia.org/wiki/Gustav_Kirchhoff

    Gustav Robert Kirchhoff (German: [ˈgʊs.taf ˈkɪʁçhɔf]; 12 March 1824 – 17 October 1887) was a German physicist, mathematican and chemist who contributed to the fundamental understanding of electrical circuits, spectroscopy and the emission of black-body radiation by heated objects.

  9. Resistance distance - Wikipedia

    en.wikipedia.org/wiki/Resistance_distance

    The resistance distance between vertices and is proportional to the commute time, of a random walk between and .The commute time is the expected number of steps in a random walk that starts at , visits , and returns to .