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Preconditioned conjugate gradient system

机译:预处理共轭梯度系统

摘要

Apparatus for optimizing the operational state of a system, which follows the Karmarkar method, and which in the course of carrying out this method, obtains a solution to the linear system of equations AD. sup. 2 A.sup.T u=p in accordance with a modified conjugate gradient method that incorporates a preconditioning operation. The preconditioning operation includes pre-drop and post-drop procedures that reduce the number of non-zero terms in the matrix to be preconditioned by judiciously discarding values that are smaller than a certain threshold. Use of the preconditioned conjugate gradient method reduces the processing time required for carrying out each iteration in the Karmarkar method. Further improvement in the operating speed of our apparatus is achieved by employing an asymmetric conjugate gradient method, where the preconditioning parameters are adjusted to obviate the need for square root operations in obtaining the above solution; performing matrix product operations in accordance with an outer product procedure and tailoring the code to the specific attributes of the A matrix.
机译:一种用于优化系统运行状态的设备,该设备遵循Karmarkar方法,并且在执行该方法的过程中,可获得方程式AD线性系统的解。一口根据改进的共轭梯度方法,其结合预调节操作,得到2 A s u = p。预处理操作包括丢弃前和丢弃后过程,这些过程通过明智地丢弃小于某个阈值的值来减少要预处理的矩阵中非零项的数量。预处理共轭梯度方法的使用减少了在Karmarkar方法中执行每次迭代所需的处理时间。通过采用非对称共轭梯度法可以进一步提高设备的运行速度,其中调整预处理参数以消除获得上述解决方案时对平方根运算的需要;根据外部乘积程序执行矩阵乘积运算,并将代码定制为A矩阵的特定属性。

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