iterative parameter 中文意思是什麼
iterative parameter
解釋
迭代參數-
For obtaining the numeral solutions of round elastic plates in axisymmetrical deformation with varying - thickness in nonlinear deformation in the unsteady electromagnetic field and mechanical field, by establishing the equations of motion, the equations of distortion, the equations of lorentz force, the equations of electronic dynamic mechenical, and adopting iterative method, we gained the nonlinear magneto - elastic calculation method and outcome of current - carrying shell, and gained the influencing degree toward mechanical parameter of varying thickness round ferreous plates in the electromagnetic field and mechanical field
摘要為了獲得內邊界固定的環形導電薄板在均布力與橫向磁場作用下的變形問題的數值解，通過建立運動方程、變形方程、電動力學方程和洛侖茲力方程，運用迭代法得出了載流板殼的非線性磁彈性的計算方法和結果，以及機械場、電磁場對鐵質變厚度圓板各力學參量的影響程度。 -
2. nonlinear source term identification problem about a quasilinear parabolic heat equation is investigated. for the given function determined, the existence and the uniqueness of the solution of the state equation are proved and the dependence of the solution of the state equation on the identification parameter is discussed ; then the identifiability is verified ; through choosing suitable basic functions, the above identification problem can be transformed into a constant coefficients identification problem ; and an practical iterative algorithm for solving the identification problem is presented, the feasibility and validity of the algorithm is verified by the numerical experiments
2 、研究一擬線性拋物型熱傳導方程非線性未知源項的識別問題；對于給定識別函數，論證了狀態方程解的存在惟一性、方程解與識別函數的依賴關系和可識別性；通過選取適當的基函數，把對非線性源項的識別轉化成常系數識別問題；給出了實現非線性源項識別的迭代演算法，通過數值實驗證明了演算法的有效性。 -
The necessary and sufficient convergence condition and the optimum relaxation parameter of ussor iterative method
迭代法收斂的充要條件和最佳鬆弛因子 -
Theory research based on overrelaxation : according to electromagnetic theory fundamental equation, boundary condition is analyzed, iterative formula is deduced, overrelaxation factor is selected and calculation program is composed. through calculation on varied parameter, a group of suitable parameter is found out. in the third chapter : the conclusion of theory research is verified through experiment
理論研究使用超鬆弛迭代法：根據麥克斯韋電磁理論基本方程，建立了磁場浙江大學博士學位論文：行程傳感液壓缸基礎技術的研究分析數學模型，分析了邊界條件，推導了迭代公式，確定了鬆弛因子，編制了運算程序，通過對不同參數的試算，找到了一組有規律參數之間的關系。 -
The calculation of ultrasonic echo parameter by gauss - newton iterative method
超聲回波參數的高斯與牛頓迭代法計算 -
The new method ameliorates the process of old iterative method and add a new iterative parameter : convergence factor, which can improve the quality of reconstruction image by changing the iterative process and adjusting convergence factor
該演算法改進已有的迭代過程，加入了新的迭代參數：收斂因子，通過改變迭代進程和調整收斂因子來提高重建圖像的質量。 -
The main task of traditional methods is to construct iterative points and that of parameter control methods is to find a sequence of parameters
傳統演算法的關鍵是構造迭代點，而參數控制演算法的關鍵是構造參數序列。 -
On one hand, from the technique of constrained least squares and limited energy of additive noise, an effective restored approach by adopting regularization method to overcoming ill - posed problem, solving an equation with a single variable, and using space iterative algorithm is proposed ; on the other hand, aiming at the restoration of blurred image, another effective restoration approach based on least - square algorithm is also proposed in this paper. this method firstly adopts increment iterative algorithm to improve convergence and meanwhile applies regularization technique to overcome ill - posed problem. in the computations, the regularized parameter has its adaptive character, which can be determined in terms of the restored image at each iteration step therefore automatically correct to the appropriate value
一是從約束最小二乘出發，在加性噪聲能量有界的前提下，採用正則化方法來克服病態問題，通過解一個單變量方程，並利用空域迭代運算實現了一種有效的圖像復原;二是針對模糊圖像的復原問題，從最小二乘演算法出發，採用增量迭代的方法改善演算法的收斂性，同時結合正則化技術克服問題的病態性質，並引入自適應的正則化參數，使其與圖像復原的迭代運算同步進行並自動修正到最優值。 -
In part i, using the method of upper and lower solutions conbined with monotone iterative technique, we discuss boundary value problem for the following impulsive differential equation with a parameter the existence of extremal solutions is considered
在第一部分中，我們利用上下解方法和單調迭代技術，討論了帶參數的脈沖微分方程邊值問題極值解的存在性。 -
In this paper, we consider the optimal parameter vector a of the modified incomplete gauss _ seidel method ( migs ). we prove that the spectral radius function of the iterative matrix t of migs with parameter vector is strictly monotonic decreasing with respect to a satisfying 0 e if the classical gauss _ seidel method converges for a z _ matrix. some properties of the left and right eigenvectors corresponding to the largest eigenvalue in modulus are given, too. these results are useful to find an optimal parameter for migs
目前主要的方法有兩類：一是充分利用所給矩陣a的特點，採用適當的主元素選取策略，使分解出的因子盡可能地保持稀疏性；二是迭代法。對于第二種方法，迭代矩陣的選取具有決定作用。只有選取的迭代矩陣的譜半徑小於1才能保證迭代法收斂。 -
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。 -
In chapter 3, gauss - seidel iterative method is discussed. if the sylvester equation coefficient matrices a, b are non - singular m - matrix, we use a splitting - up method which has a parameter in chapter 4
在第四章，對于系數矩陣a ， b是非奇m陣的情況，本文將一種帶參數的分裂演算法應用於求解sylvester方程。 -
But, pso convergence ' s speed become slow in latter iterative phase, and pso is easy to fall into local optimization. at present, some scholars improve base pso mostly using 3 methods : disperse algorithm, increase convergence speed, enhance particle ' kinds. in the paper, i put forward 2 methods aiming at local best resutl but not whole best result. i modify base pso using the last method. some scholars put forward times initializations, so i select best result after circulating some times to be a parameter of formula. first, put particle into some small region, and ensure every region having one paticle at least. second, every region ' s particle has probability transfer other regions. although increase running time, enhance particle ' kinds, decrese the probability of convergence far from whole best result. nerms ( network educational resource management system ) is one of the research projects in the science and technology development planning of jilin province. the aim of nerms is to organize and manage various twelve kinds of network educational resources effectively so that people can share and gain them easily and efficiently, so as to quicken the development of network education
但粒子群演算法仍存在如下不足:首先在多峰的情況下，粒子群有可能錯過全局最優解，遠離最優解的空間，最終得到局部最優解;其次在演算法收斂的情況下，由於所有的粒子都向最優解的方向群游，所有的粒子趨向同一，失去了粒子間解的多樣性，使得後期的收斂速度明顯變慢，同時演算法收斂到一定精度時，演算法無法繼續優化，本文對原始粒子群演算法提出了二點改進方案: 1 .演算法迭代到一定代數后，把此時找到的全局最優解當作速度更新公式的另一參數（本文稱之為階段最優解）再進行迭代; 2 .每次迭代過程中除最優解以外的每個粒子都有一定概率「變異」到一個步長以外的區域，其中「變異」的粒子在每一維上都隨機生成一個步長。 -
And then the paper describes em - mrf iterative algorithm and its realization for the parameter estimation in unsupervised image classiifcation process. the em - mrf - based image classification strategy is introduced into multisensor feature - level image fusion, distributed and centric based fusion methods are proposed. finally, simulated results through sythetic and real remotely sensed image illustrate the effectiveness and advantage of the proposed methods
針對遙感圖像非監督分類中的參數估計問題，重點討論了em - mrf迭代演算法的原理和實現，並將em - mrf迭代演算法引入到多源遙感圖像融合的過程中，提出了兩種分別基於集中式融合模型和分散式融合模型的圖像融合方法。
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