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Finding a Hamiltonian cycle using the Chebyshev polynomials

Lamač, Jan, Vlasák, Miloslav (2025)

Programs and Algorithms of Numerical Mathematics

We present an algorithm of finding the Hamiltonian cycle in a general undirected graph by minimization of an appropriately chosen functional. This functional depends on the characteristic polynomial of the graph Laplacian matrix and attains its minimum at the characteristic polynomial of the Laplacian matrix of the Hamiltonian cycle.

Fourier analysis of iterative aggregation-disaggregation methods for nearly circulant stochastic matrices

Pultarová, Ivana (2013)

Programs and Algorithms of Numerical Mathematics

We introduce a new way of the analysis of iterative aggregation-disaggregation methods for computing stationary probability distribution vectors of stochastic matrices. This new approach is based on the Fourier transform of the error propagation matrix. Exact formula for its spectrum can be obtained if the stochastic matrix is circulant. Some examples are presented.

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