quasi convergence 中文意思是什麼

quasi convergence 解釋
擬收斂
  • quasi : adv 1 在某一意義上，有點，幾乎。2 恰如，宛如，就像是。3 就是說，即〈略作 q 或 qu 尤用以作語源上的...
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  1. Convergence of powers of quasi - convergent fuzzy matrix

    擬收斂模糊矩陣的冪斂性
  2. Table 2. 1. 3. further convergence property 3. 1 algoithm the convergence property of diagnal sparse quasi - newton method is proposed

    另外，對hesse矩陣為稀疏的目標函數，該演算法也具有較快的收斂速度。
  3. Global convergence of non - quasi - newton merhods with a class of inexact line searching

    帶一類非精確線搜索的非擬牛頓演算法的整體收斂性
  4. The construction and convergence of ishikawa iteration for quasi - nonexpansive operator sequence

    迭代過程的構造及收斂性
  5. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  6. Global convergence of the non - quasi - newton method for unconstrained optimization problems problems

    基於非擬牛頓方法無約束最優化問題的全局收斂性
  7. Strong convergence theorem of iterative sequence for a family of finite asymptotically quasi - nonexpansive mappings

    有限個漸近擬非擴張映象迭代序列強收斂定理
  8. The strong convergence of ishikawa iterative sequences for asymptotically quasi - nonexpansive type mappings

    迭代序列的強收斂性
  9. Using the conic function model local approximation, w. cdavidon ( 1980 ) proposed a class of iterative algorithms with modified matrix combining function value, furthermore under the theory d. c. sorensen has used local quadratic approximation method, then applying collinear scaling idea improving on the above algorithm and generalizing it, getting a class of collinear scaling algorithm, unifying former quasi - newton. in the paper, using local quadratic approximation method, the first, constructing the new collinear scaling gene, getting a class of the new collinear scaling algorithm with briefness and numerical stability, ., we discusses some properties of the algorithm and its local linear convergence, q - superlinear convergence and the whole convergence ; secondly we have made numerical experimentation and numerical analysis ; the last, we have done much discussion for collinear scaling idea and given the several new collinear scaling algorithm

    本文的工作就是基於局部二次逼近原理，首先通過構造新的共線調比因子，得到了一類新的更簡潔，數值穩定性更好的共線調比演算法，進而我們給出了本共線調比演算法的局部收斂性，全局收斂性以及演算法q -超線性速度的理論證明；其次，用經典的無約束優化五大考核函數就本共線調比演算法進行了數值試驗和數值分析；最後，就局部二次逼近思想，進行共線調比演算法思想進行更廣泛的討論，給出了幾個新共線調比演算法。
  10. The global convergence of the non - quasi - newton methods with non - monotone line search

    基於非單調線搜索非擬牛頓法的全局收斂性
  11. We solved multiobject nonconvex programming by means of homotopy - interior method and got the minimum weak effect solution under quasi - normal cone condition ; meanwhile we proved the convergence of this method

    摘要利用同倫內點演算法求解多目標非凸規劃在擬錐條件下的最小弱有效解，並證明了演算法的大范圍收斂性。
  12. One is, based on answering the above open problem on a finite dimensional euclidean space by means of partially ordered theory, to research the existence of solutions, global error bounds of proximal solutions and sensitivity of parametric unique solutions and present a class of variable - parameter three - step iterative algorithms for generalized set - valued variational inclusion problems by using - resolvent operator of set - valued mapping. two is to consider the convexity, closedness and boundedness of the solution set of general set - valued variational inclusion problems and the sensitivity of the parametric solution set by means of graphical convergence theory. three is to discuss directly the existence of solutions by using analytical methods for set - valued mixed quasi - variational - like inequalities and suggest a class of direct variable - parameter three - step iterative algorithms for solving generalized set - valued variational inclusions

    研究分有三個方面：一是藉助于偏序理論在有限維歐氏空間中解決了上述公開問題，在此基礎上利用集值映射的-預解運算元，研究了廣義集值變分包含問題解的存在性、逼近解的全局誤差界、參數唯一解的靈敏性，並提出了一類變參數三步迭代演算法；二是藉助于圖收斂理論研究了一般集值變分包含問題解集的凸性、閉性和有界性以及參數解集的靈敏性；三是用分析的方法直接討論了集值混合擬類變分不等式問題解的存在性並提出了一類求解廣義集值變分包含問題的直接變參數三步迭代演算法。
  13. On the other hand, with traditional iterations and the conjugate gradient ( cg ) as smoothers, we can show the optimal convergence rate of the cascadic method in energy norm for 1 - d and 2 - d cases. when the mesh level is arbitrary, we use a duality argument and obtain the quasi - optimality of the algorithm only for 2 - d problems

    另一方面，採用傳統迭代子和共軛梯度法作為光滑子，我們證明了瀑布型多重網格法對一、二維非線性橢圓邊值問題，在能量范數下，均可獲得最優收斂階。
  14. In chapter 2. we give a class of new algorithms for nonlinear programming problems with linear constrained by combining the gradient projection method with non - quasi - newton method which was given in paper [ 2 ]. it ' s global convergence and the superlinear convergence are proved under suitable conditions

    在第二章中我們將梯度投影與文[ 2 ]中的非擬牛頓法相結合，給出了求解線性約束非線性優化問題的一類梯度投影非擬牛頓演算法。
  15. In chapter 3, we give a class of new algorithms with inexact search for nonlinear programming problems with linear constrained by combining the generalized projection method with non - quasi - newton method. it ' s global convergence and the superlinear convergence are proved under suitable conditions

    新演算法推廣了文[ 1 ， 2 ]中的結果。在第三章中我們將廣義投影演算法與非擬牛頓法相結合，給出了求解線性約束非線性優化問題的一類廣義投影非擬牛頓演算法。
  16. The quasi - weak convergence in c [ a, b ] is studied and applied to the boundary - value problems in the nonlinear ordinary differential equations without the assumption of the continuity, compactness and convexity

    摘要研究了連續函數空間中凹（凸）函數列的擬弱收斂性，並應用於沒有連續性緊性和凹凸性假定的二階常微分方程的邊值問題。
  17. If the bifunction involving the multivalued general mixed quasi - variational inequalities is skew - symmetric, then the new predictor methods is shown that the convergence of the new method requires the partically relaxed strong monotonicity property of the operator, which is a weaker condition than cocoecivity

    如果混合集值擬變分不等式中的雙函數是斜對稱的，則預估?校正演算法的收斂性只要求映射是g -局部放鬆強單調的即可，這是一個比g -強制性更弱的條件。
  18. In this paper, a class of algorithms which are update quasi - newton methods for unconstrained optimization as follows : this article consists, of three parts. the first part is the introduction of the quasi - newton methods for unconstrained optimization. the second part is the proof of the global and superlin - early convergence of the generalized - quasi - newton methods. the third part is quasi - newton - non - convex class methods and its global convergence. the main results of the second part are as follows : theorem of global convergence

    在第一章中，主要是根據焦寶聰提出的廣義擬牛頓演算法，對目標函數放寬了條件限制，結合goldstein線性搜索，對一般目標函數進行了收斂性的討論，其主要結果如下：全局收斂性定理若f （ x ）在r ~ n上二次連續可微，有下界，水平集。
  19. Convergence analysis of a successive approximation quasi - newton method for solving nonlinear complementarity problems

    求解非線性互補問題的逐次逼近擬牛頓法的收斂性分析
  20. We also discuss the convergence and stability of perturbed iterative algorithm for solving a class of generalized nonlinear quasi - variational - like inclusions involving maximal - monotone mappings

    我們還討論了求解一類含-極大單調映象的廣義非線性擬似變分包含的擾動迭代演算法的收斂性和穩定性。
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