butools.dmap.CheckDMMAPRepresentation ===================================== .. currentmodule:: butools.dmap .. np:function:: CheckDMMAPRepresentation .. list-table:: :widths: 25 150 * - Matlab: - :code:`r = CheckDMMAPRepresentation(D, prec)` * - Mathematica: - :code:`r = CheckDMMAPRepresentation[D, prec]` * - Python/Numpy: - :code:`r = CheckDMMAPRepresentation(D, prec)` Checks if the input matrixes define a discrete time MMAP. All matrices D0...DK must have the same size, D0 must be a transient probability matrix, D1 has only non-negative elements, and the rowsum of D0+D1+...+DK is 1 (up to the numerical precision). Parameters ---------- D : list/cell of matrices, length(K) The D0...DK matrices of the DMMAP to check Returns ------- r : bool The result of the check Examples ======== For Matlab: >>> D0 = [0.34, 0, 0; 0.06, 0.05, 0.03; 0.11, 0.13, 0]; >>> D1 = [0.3, 0, 0; 0.16, 0.18, 0.05; 0.15, 0.04, 0.09]; >>> D2 = [0, 0.01, 0; 0.1, 0.07, 0.08; 0.13, 0.12, 0.13]; >>> D3 = [0.35, 0, 0; 0, 0.18, 0.04; 0.06, 0.03, 0.01]; >>> flag = CheckDMMAPRepresentation({D0, D1, D2, D3}); >>> disp(flag); 1 For Mathematica: >>> D0 = {{0.34, 0, 0},{0.06, 0.05, 0.03},{0.11, 0.13, 0}}; >>> D1 = {{0.3, 0, 0},{0.16, 0.18, 0.05},{0.15, 0.04, 0.09}}; >>> D2 = {{0, 0.01, 0},{0.1, 0.07, 0.08},{0.13, 0.12, 0.13}}; >>> D3 = {{0.35, 0, 0},{0, 0.18, 0.04},{0.06, 0.03, 0.01}}; >>> flag = CheckDMMAPRepresentation[{D0, D1, D2, D3}]; >>> Print[flag]; True For Python/Numpy: >>> D0 = ml.matrix([[0.34, 0, 0],[0.06, 0.05, 0.03],[0.11, 0.13, 0]]) >>> D1 = ml.matrix([[0.3, 0, 0],[0.16, 0.18, 0.05],[0.15, 0.04, 0.09]]) >>> D2 = ml.matrix([[0, 0.01, 0],[0.1, 0.07, 0.08],[0.13, 0.12, 0.13]]) >>> D3 = ml.matrix([[0.35, 0, 0],[0, 0.18, 0.04],[0.06, 0.03, 0.01]]) >>> flag = CheckDMMAPRepresentation([D0, D1, D2, D3]) >>> print(flag) True