Fast and stable algorithms for computing the principal square root of a complex matrix
暂无分享,去创建一个
[1] L. Shieh,et al. Algebra-geometric approach for the model reduction of large-scale multivariable systems , 1984 .
[2] R. E. Yates,et al. Some properties of matrix sign functions derived from continued fractions , 1983 .
[3] N. Higham. Newton's method for the matrix square root , 1986 .
[4] Leang S. Shieh,et al. Matrix sector functions and their applications to systems theory , 1984 .
[5] W. D. Hoskins,et al. A faster, more stable method for computing the pth roots of positive definite matrices , 1979 .
[6] J. D. Roberts,et al. Linear model reduction and solution of the algebraic Riccati equation by use of the sign function , 1980 .
[7] R. E. Yates,et al. Separation of matrix eigenvalues and structural decomposition of large-scale systems , 1986 .
[8] Judith Gardiner,et al. A generalization of the matrix sign function solution for algebraic Riccati equations , 1985, 1985 24th IEEE Conference on Decision and Control.
[9] L. Shieh,et al. Fast suboptimal state-space self-tuner for linear stochastic multivariable systems , 1983 .
[10] D. Walton,et al. A faster method of computing the square root of a matrix , 1978 .
[11] E. Denman,et al. The matrix sign function and computations in systems , 1976 .
[12] Leang-San Shieh,et al. Computation of the principal nth roots of complex matrices , 1985 .
[13] L. Shieh,et al. Determining continuous-time state equations from discrete-time state equations via the principal q th root method , 1986 .
[14] Jason Sheng-Hong Tsai,et al. A fast method for computing the principal nth roots of complex matrices , 1986 .
[15] Gerald Bierman. Computational aspects of the matrix sign function solution to the ARE , 1984, The 23rd IEEE Conference on Decision and Control.