Generate all permutations of {1, 2, 3, 4} by the bottom-up minimal-change algorithm. Show the steps

Please help me with this practice problem in python : Implement two-level iterative method B = B_{TL} for graph Laplacian matrices. We want the symmetric B. Components: Given a graph, construct its graph Laplacian matrix. Then using Luby's algorithm, construct the P matrix that ensures a prescribed coarsening factor, e.g., 2, 4, or 8 times smaller number of coarse vertices. Since the graph Laplacian matrix is singular (it has the constants in its nullspace), to make it invertible, make its last row and columns zero, but keep the diagonal as it were (nonzero). The resulting modified graph Laplacian matrix A is invertible and s.p.d.. Form the coarse matrix A_c = P^TAP. To implement symmetric two-level cycle use one of the following M and M^T: (i) M is forward Gauss-Seidel, M^T - backward Gauss-Seidel (both corresponding to A) (ii) M = M^T - the ell_1 smoother. Compare the performance (convergence properties in terms of number of iterations) of B w.r.t. just using the smoother M…

Use a software program or a graphing utility with matrix capabilities to find the eigenvalues of the matrix. (Enter your answers as a comma-separated list.) 1 0 -1 1 1 1 -3 0 3 -3 0 3 3 λ = 0 030

Algorithm Element as a Strong Generator ProductInput: a group G operating on f = 1,2,.....n; an element g of G; a base and strong generating set for G; Schreier vectors v I 1 I k, for the stabiliser chainOutput: a symbolic product, a word that expresses g in terms of the strong generators.