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A Fourth-Order Nonlinear Conjugate Gradient Method in Equality Constrained Optimization

机译:等式约束优化中的四阶非线性共轭梯度法

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This paper presents a fourth-order nonlinear conjugate gradient method in equality constrained optimization. The idea is to transform the constrained problem into unconstrained type through the Lagrange multipliers scheme. Using four terms of Taylor series development, we approximate the transformed function (augmented Lagrange function). Lastly, we employ the new fourth-order nonlinear conjugate gradient method in equality constrained optimization to solve the optimization problem. We present the algorithm in steps and some properties of the gradients are proved, using classical results. Also, the convergence analysis has been proved under classical and known assumptions. Furthermore, we present the obtained numerical results and compare them to some existing results. The analysis of results confirms that the new method is accurate.
机译:提出了等式约束优化中的四阶非线性共轭梯度法。这个想法是通过拉格朗日乘数方案将约束问题转换成非约束类型。使用泰勒级数展开的四个项,我们对变换后的函数(增强的拉格朗日函数)进行了近似。最后,在等式约束优化中采用了新的四阶非线性共轭梯度法来解决该优化问题。我们使用经典结果逐步介绍了该算法,并证明了梯度的一些属性。同样,已经在经典和已知的假设下证明了收敛性分析。此外,我们介绍了获得的数值结果,并将其与一些现有结果进行了比较。结果分析证实了该新方法的准确性。

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