数值结果及与BFGS法等其它变尺度法的数值比较。
Numerical results and numerical comparison with BFGS, and so on are also given.
研究了求解无约束极值问题的DFP变尺度法和FR共轭梯度法的关系问题。
In this paper, the relationship of DFP variable metric method and FR conjugate gradient method is investigated.
用该近似函数形成结构优化原问题的序列近似问题，再用约束变尺度法解近似问题。
The improved approximate expressions are proposed to create the sequential approximation problems which are solved with the constrained variable metric method.
并用算例用基于准梯度向量的准梯度法、准共轭梯度法和变尺度法求解有功优化潮流。
The optimal real power flow is computed on the basis of the quasi-gradient vector by means of gradient method, conjugate gradient method and DPF method.
采用了约束变尺度法建立了干扰子弹的优化设计数学模型，且编制了优化设计软件，计算出了所优化的结果。
By using the Constrained Variable Metric method, an optimization design model of the cartridge is established, and created a computer program, and then worked out the optimized result.
从应用角度出发，首先，将约束变尺度法改进为一般约束条件，通过适当选择差商形式和对一维不精确线性搜索方法的修正，扩大了该方法的适用范围。
Through the suitable selection of difference quotient and correction of the one-dimension inaccuracy linear searching, scope of the improved method is extended.
本文将数学规划法与优化准则法有机地结合起来，导出了一种新的优化方法——变尺度梯度投影法。
A new nonlinear optimization method called variable metric gradient projection method is presented. It is a combination of mathematical programming with optimality criterion.
神经网络的辨识采用变尺度二阶快速学习算法，利用二阶插值法来优化搜索学习速率。
In this paper, a kind of variable metric fast second order nonlinear optimization algorithm is proposed, where a second order interpolating method is used in the optimization of learning rate.
神经网络的辨识采用变尺度二阶快速学习算法，利用二阶插值法来优化搜索学习速率。
In this paper, a kind of variable metric fast second order nonlinear optimization algorithm is proposed, where a second order interpolating method is used in the optimization of learning rate.
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