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A Diagonally Updated Limited-Memory Quasi-Newton Method for the Weighted Density Approximation

机译:加权密度逼近的对角更新有限内存拟牛顿法

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摘要

We propose a limited-memory quasi-Newton method using the bad Broyden update and apply it to the nonlinear equations that must be solved to determine the effective Fermi momentum in the weighted density approximation for the exchange energy density functional. This algorithm has advantages for nonlinear systems of equations with diagonally dominant Jacobians, because it is easy to generalize the method to allow for periodic updates of the diagonal of the Jacobian. Systematic tests of the method for atoms show that one can determine the effective Fermi momentum at thousands of points in less than fifteen iterations.
机译:我们提出了一种使用坏Broyden更新的有限记忆拟牛顿法,并将其应用于必须求解的非线性方程组,以确定交换能量密度函数的加权密度近似中的有效费米动量。该算法对于具有对角占优势的雅可比方程组的非线性方程组具有优势,因为易于推广该方法以允许对雅可比对角线进行周期性更新。对原子方法的系统测试表明,可以在不到十五次的迭代中确定数千个点的有效费米动量。

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