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Matrix equations and structures: efficient solution of special discrete algebraic Riccati equations

机译:矩阵方程和结构:特殊离散代数Riccati方程的有效解

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We propose a new quadratically convergent algorithm, having a low computational cost per step and good numerical stability properties, that allows the computation of the maximal solutions of the matrix equations X + C{sup}*X{sup}-1C = Q, X -C{sup}*X{sup}-1C = Q, X + C{sup}*(R + B{sup}*XB){sup}-1C = Q. The algorithm is based on the cyclic reduction method.
机译:我们提出了一种新的二次收敛算法,每个步骤计算成本低,数值稳定性良好,允许计算矩阵方程x + c {sup} * x {sup} -1c = q,x的最大解-c {sup} * x {sup} -1c = q,x + c {sup} *(r + b {sup} * xb){sup} -1c = q.算法基于循环减少方法。

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