Fourthly , because of the fluctuation of grouping efficacy during the fcm iteration process , the iteration solution selecting procedure is put forward , with which the infeasible solution of last iteration will not be selected . 5 第四,針對fcm迭代過程中制造單元構(gòu)建方案成組效率的波動性,提出了迭代方案選擇方法,基本避免了fcm選擇的最終迭代方案不可行的問題。
The increment - iteration solution strategy is adopted in the nonlinear finite element analysis . arc - length method and the incremental plastic reversibility procedure are used to find the complete load - deflection curve and deal with elastic unloading occurring in elasto - plastic analysis 有限元分析中采用增量?迭代方法,結(jié)合弧長法和塑性增量可逆的假定,可以計算出完整的荷載位移曲線,并考慮彈塑性問題中可能出現(xiàn)的彈性卸載問題。
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(zhuǎn)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(shù)收斂的,并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伏電壓加于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(fā),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(fā),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。