01162nam a2200181Ia 450000500170000000800410001702000130005808200150007110000220008624500360010825000080014426000520015230000180020450506310022294200080085399900170086195201020087820241211205632.0241211s1960    xx            000 0 und d  afcnm1475  a515.6I/B38  aBellman, Richard. 0aIntroduction to Matrix Analysis  a1ra  aUnited States of America :bMc Graw Hill,c1960  a328 páginas  a1.Maximization, minimization, and motivation. 2.Vectors and matrices. 3.Diagonilization and canonical forms for symmetric matrices. 4.Reduction of general symmetric matrices to digital form. 5.Constrained maxima. 6.Functions of matrices. 7.Variational description of characteristics roots. 8.Inequalities. 9.Dynamic programming. 10.Matrices and differential equations. 11.Explicit solutions and canical forms. 12.Symmetric functions, kronecker products and circulants. 13.Stability theory. 14.Markoff matrices and probability theory. 15.Stochastic matrices. 16.Positive matrices, perron’s theorem and mathematical economics.  yLIB  c50698d50698  00104070aBE-FCNMbBE-FCNMcTPd2018-03-01eDonacionfBuenoo515.6I/B38pFCNM2508yLIBzExterno