starting iteration 中文意思是什麼
starting iteration
解釋
開始迭代-
In this dissertation, we firstly prove that any dirichlet problem is indeed equal to a voltages problem of networks. we give five solutions to dirichlet problem in two dimensions ; among these five solutions, we prove that the iteration solution and the solution of relaxations are exponential convergence, then we estimate their respective convergence rates ; secondly, we discuss random walks on general networks, prove that there is an one to one correspondence between networks and reversible ergodic markov chains ; thirdly, we give probabilistic interpretation of voltages for general networks : when a unit voltage is applied between a and b, making va = 1 and vb = 0, the voltage vx at any point x represents the probability that a walker starting from x will return to a before reaching b ; furthermore, we study the relationship between effective resistance and escape probability : starting at a, the probability that the walk reaches b before returning to a is the ratio of the effective conductance and the total conductance
本文證明了任何邊值的dirichlet問題都可轉化為求解電路電壓的問題：給出了計算平面格點上dirichlet問題的5種方法：證明了迭代法和松馳法都是指數收斂的，並分別給出收斂速度的估計；討論了一般電路上的隨機徘徊，驗證了電路與可逆的遍歷markov鏈是一一對應的；給出了電路電壓的概率解釋：當把1伏電壓加於a ， b兩端，使得v _ a = 1 ， v _ b = 0時，則x點的電壓v _ x表示對應的markov鏈中，從x出發，到達b之前到達a的概率；進一步地，給出了逃離概率與有效電阻之間的關系：從a出發，在到達b之前到達a的概率為有效傳導率與通過a的總傳導率之比。 -
As for the numericial mthods we present a method using newton iteration and lp ( lift - projection ) iteration to slove inverse real symmetric eigenvalue problems. then wo can choose any starting points, then wo can get good starting value for the purpose of the preconditioning the numerical examples show the method is efficient and available
對于數值演算法，將lp迭代和一般的newton迭代法結合起來求解含參變量的實對稱矩陣特徵值反問題， lp迭代預處理了newton迭代法的初始值，拓寬了newton迭代法初始值的選取范圍，數值例子也說明lp ? newton法具有較高的效率和實用性。 -
A new heuristic search method is devised for maximum likelihood method, which first constructs a starting tree, and then through branch swapping searches for trees best resembling the present optimal tree and locates a better tree. repeat this process, till no more better trees are generated or the upper iteration limit is arrived and the program ends
對最大似然法，改進了一種新的啟發式搜索:隨機建立一棵初始樹，然後通過查看與當前最優樹拓撲最近的樹，從中尋找更優樹，不斷地更新當前最優樹，直到無法找到更優樹或者達到了搜索次數的上限，演算法停止。
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