iterative formula 中文意思是什麼
iterative formula
解釋
迭代公式-
A normal transform is introduced, and there are enough much grids in the region between the critical layer and the wall, where the variation of the disturbance is the quickest. the finite - difference of governing equations with fourth - order accuracy in the normal direction is utilized in full regions including points close the wall, and is very important for accurately discreting equations. the combination of global and local methods is implemented, and a new iterative formula is derived
對于曲線坐標系下的拋物化穩定性方程，文中發展了求解的高效數值方法:引進法向變換，使得在臨界層與壁面之間的擾動量變化最快的區域有更多的法向網格點;導出包含邊界鄰域在內的完全四階精度的法向有限差分格式，這對方程精確離散至關重要;採用全局法和局部法相結合的方法及其新的迭代公式，大大加速收斂並得到更精確的特徵值。 -
In addition, the paper makes a research into fft in asynchronous sampling from the angle of iteration, and obtains a iterative formula
此外，本文從迭代收斂的角度研究了非同步取樣時的fft ，得出了一個迭代公式。 -
We have deduced the iterative formula by the theory of the dynamic system, proved that the quadratic convergence holds under the weak conditions, and done the numerical experiments
利用動力系統理論推導出該方法的迭代公式，證明其在某些弱條件下至少是二階收斂的，最後給出了數值結果。 -
A new computational formula to nonlinear adjustment by parameters, in consideration of the second - order terms, is derived in this paper from the precise orthogonality condition equations to nonlinear least squares by analyzing the direct solving process and iterative computing method of the linearized model
在分析線性化的非線性參數平差的近似直接解法與迭代解法基礎上，利用非線性最小二乘的精確正交性條件方程，推導出顧及到二次項的非線性參數平差的一種新的計算公式。 -
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。 -
This paper develops iterative formula of sine and cosine function in document [ 40 ], and presents new pixel - level algorithms for generating archimedes and involute curves which are widely used in engineering
本文推廣了文獻[ 40 ]中正弦、餘弦函數的遞推公式，對工程繪圖中常用的阿基米德曲線和漸開線設計了新的逐點生成演算法。 -
To obtain the parameters of measuring magnetic circuit structure, theory research is done. 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
並根據麥克斯韋電磁場基本理論建立了磁路結構模型，使用超鬆弛迭代法對測量磁路結構的磁場進行了理論分析，得到了適于用在行程傳感液壓缸行程測量的磁路參數之間的關系。 -
First of all, the algorithm base on the boundary problem of helmholtz equation and finite - difference technique, calculate the field in “ cold ” cavity and disperse the helmholtz equation, as a result of the formula : ax = x. secondly, according to the eigenvalue of matrix theory and applied iterative methods, eigenmode adopt a numerical approach which allows the improved chebyshev polynomial iteration which based on the power method to extract the isolated eigenmode in the spectrum. finally, we resolve the problem of compatibility in software and insert the eigenmode module into the chipic which will have the function of eigenmode analysis
具體的說: （ 1 ）首先以電磁理論中的亥姆霍茲方程的邊值問題理論和計算電磁學中的有限差分法為基礎，計算冷腔中的場分佈並離散亥姆霍茲方程，得到標準的本徵值問題: ax = x ; （ 2 ）然後根據矩陣理論中的eigenvalue問題和數值計算中的迭代方法，採用改進后的chebyshev多項式，在power迭代法的基礎上對ax = x進行多項式迭代，實現對頻譜中孤立本徵模的萃取; （ 3 ）最後將用fortran語言編制的eigenmode模塊加入到chipic軟體中，解決了eigenmode模塊與chipic主代碼的兼容問題，從而實現了chipic軟體的模式分析功能。 -
Latest progresses on some fundamental and important problems about information fusion in sensor networks are presented, including the multisensor distributed decision in the most general case in the sense of globally optimal fusion ; the optimal dimension compression of the sensor observations or local estimates ; the best linear unbiased estimation fusion formula and the efficient iterative algorithm ; the distributed kalman filtering fusion for the multisensor dynamic systems with cross - correlated sensor noises ; and the fault - tolerant interval estimation fusion
摘要系統地闡述了傳感器網路環境中幾個基本而又重要的信息融合問題的最近進展，包括：最一般條件下全局最優的多傳感器分散式統計判決；傳感器觀測數據或局部估計的最優維數壓縮；一般條件下最優線性無偏估計融合公式及其有效演算法；傳感器觀測噪聲相關情形下動態系統的卡爾曼濾波融合；容錯條件下的區間估計融合。 -
First, we construct a dividing segment model of neutralizer ; utilize runge - kutta method to give a series of iterative formula and complete calculation by running computer program. second, we make use of monte carlo way to simulate the pressure distribution. comparing the conclusion of simulation with theory calculation, we found that the data are very close
為中性化室壓力分佈分析構建了中性化室分段計算模型，利用四階龍格-庫塔方法對其進行了迭代求解，最後編寫程序由計算機來完成計算；還利用蒙特卡羅方法對中性化室壓強分佈進行了模擬。 -
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。
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