inequality n. 1.不平等,不平均,不平衡,不等量。 2.不相同,互異。 3.變動,變化,高低,起伏。 4.【數(shù)學】不等式;【天文學】均差。 5.(平面等的)不平坦。 6.不勝任。 an inequality of temperature 溫度上的變化。 the inequality of the climate 氣候上的變動。 inequality in size 大小不同。 the inequality between the rich and the poor 貧富不均。 one's inequality to a task 不勝任。
constraint n. 1.強迫,拘束。 2.約束,壓抑,拘泥。 3.強制力。 4.緊張感[狀態(tài)]。 by constraint 勉強,強迫。 feel constraint覺得局促不安,感受壓迫。 show constraint顯得局促。 under [in] constraint 被迫,不得不;被束縛著。
Aiming at more general nonlinear optimizations subject to linear inequality constraints , this article proposes curvilinear path trust region algorithms 本文針對更為一般的帶線性不等式約束的優(yōu)化問題提出弧線路徑信賴域算法。
This paper gived an alternating iterative algorithm , and solved parameters estimation question of math model in the case of unknown error variances , which some linear models with the same parameters with linear inequality constraints , at last , data modeling was done 摘要本文對不等式約束條件下,具有相同參數(shù)的多個線性模型的參數(shù),在方差未知的情況下,給出了一種迭代算法,并利用一組隨機數(shù)據(jù)對此算法進行了模擬。
Otherwise , the trust region radius is reduced and a new trial point is selected . it is possible that the region subproblem need to be resolved many times before obtaining an acceptable step , and hence the total computation for completing one iteration might be expensive . this article combines approximate trust region path and nonmonotonic backtracking strategy to solve nonlinear optimization subject to linear inequality constraints , that is , we use approximate trust region path to get the research direction by minimuming quadratical model in the trust region by employing 本文在求解線性不等式約束優(yōu)化問題時,將近似信賴域路徑與非單調(diào)信賴域方法相結(jié)合,即在信賴域半徑內(nèi)沿近似信賴域路徑得到一極小化二次模型的搜索方向后采用回代法避免重復求解信賴域子問題,在此算法中當搜索方向不被接受時,就用非單調(diào)線搜索技術(shù)得到接受步長,定義新的迭代點。