generalized elimination method 【计】 广义消元法 gradient method(s) 梯度法 gradient projection method 梯度投影法 相似单词 generalized adj. 一般化 reduced a.减少了的;降低的;缩小的;沦落的 gradient n.[U] 1.坡度;(公路、河道等的)斜面 2.【物】(温度、压力等的)梯度;梯度变化曲线 3.【数】...
Generalized Reduced Gradient Method 青云英语翻译 请在下面的文本框内输入文字,然后点击开始翻译按钮进行翻译,如果您看不到结果,请重新翻译! 翻译结果1翻译结果2翻译结果3翻译结果4翻译结果5 翻译结果1复制译文编辑译文朗读译文返回顶部 广义简约梯度法 翻译结果2复制译文编辑译文朗读译文返回顶部...
Glemmestad, On generalized reduced gradient method with multi-start and self-optimizing control structure for gas lift allocation opti- mization, Journal of Process Control 23 (2013) 1129-1140.Sharma P and Glemmestad B 2013 On generalized reduced gradient method with multi-start and self-...
The Generalized Reduced Gradient (GRG) method has proven to be one of the more robust and efficient algorithms currently available for solving nonlinear programming problems. The method divides the vector of design variables into two classes, nonbasic and basic variables, and employs the implicit fun...
The algorithm, GRGDFP, is based upon the Generalized Reduced Gradient Method of Abadie1 and employs the Davidon-Fletcher-Powell2 Method for the unconstrained optimization. The performance of the method on the Eason and Fenton,3 and Colville4 test problems is reported. GRGDFP is shown to be ...
1. 一般化缩减梯度 一般化缩减梯度(Generalized Reduced Gradient)法是一个广受喜爱的非线性规划问题解法,但於具有四次目标式之多目标统计 … ntur.lib.ntu.edu.tw|基于2个网页 2. 广义既约梯度 广义既约梯度法,Generalized... ... )Generalized reduced gradient广义既约梯度) reduced gradient method 既约梯...
The Generalized Reduced Gradient Method for nonlinear programming is discussed with emphasis on a fast, reliable computer implementation of the algorithm. The problems studied relate to basis selection, degeneracy, the acceleration of the solution of nonlinear equations, and the design of a mathematical...
generalized reduced gradient method 广义既约梯度法 相似单词 elimination n.[C,U] 1.排除,消除 2.(比赛中)淘汰 3.消灭,干掉(尤指敌人或对手) generalized adj. 一般化 elimination addition 【化】 消除-加成 zero elimination 【电】 零消除 non elimination n. 不排除,不消灭 hypo elimination 硫...
The basis set size was restricted by a cutoff energy of 120 Hartree, and the Monkhorst-Pack method [38] was applied, with a wave number mesh of dimension 1 × 1 × 100. Show moreView chapter Chapter Density Functional Theory (DFT) and Time Dependent DFT (TDDFT) Principles and ...
The key step in a conditional gradient method is then to find the steepest descent direction for a linearized version of \(\tilde{T}_{\alpha ,\beta }\). In Sect. 3.3, we show that in order to find such direction, it is sufficient to solve the minimization problem $$\begin{aligned}...