steepest descent algorithm 中文意思是什麼
steepest descent algorithm
解釋
最陡下降處法-
The hybrid algorithm raises the convergence rate of the conjugate gradient method and solves the problem for which the convergence rate of the steepest descent method get slower when the isopleth of goal function is oblong
這種混合優化演算法結合了共扼梯度法和最速下降法產生搜索方向，既提高了共扼梯度演算法的收斂速度，又解決了目標函數的等值線是扁長橢球時，最速下降法下降緩慢的問題，具有收斂速度快、收斂范圍大、適應面廣等特點。 -
Based on the steepest descent method and the conjugate gradient method, a hybrid algorithm is proposed in this paper, and its global convergence is proved
摘要將最速下降法與共扼梯度法有機結合起來，構造出一種混合優化演算法，並證明其全局收斂性。 -
This paper researches blind equalization ruler, analyses the knowledge of hos and summarizes some algorithms based on the hos. odd - order ( third - second order and fifth - second order ) normalized cumulant algorithms are introduced and a new blind equalization ruler is proved and introduced after researching even - order normalized cumulant algorithms. then the steepest descent method is used to derive the algorithm
在分析偶數階歸一化累積量演算法的基礎上，提出了奇數階（三、二階和五、二階）歸一化累積量演算法，論證並推導出一種新的盲均衡準則，最後利用最速下降法形成了新演算法。 -
Motivated by this fact and peng ' s promising result, we utilize a special algebraic transformation, namely logarithmic transformation, to establish a non - infeasible long - step primal - dual path following algorithm. this algorithm arrives at the primal - dual solution set along the steepest descent direction of primal - dual
第七章，通過構造一個新的鄰近度量函數，提出一個具有自調節功能的原一對偶路徑跟蹤內點演算法，並將其與線性規劃軟體lipsol和彭等人的m 。
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