離散逼近 的英文怎麼說

中文拼音 [lísǎnbījìn]
離散逼近 英文
discrete approximation
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 散 : 散動詞1. （由聚集而分離） break up; disperse 2. （散布） distribute; disseminate; give out 3. （排除） dispel; let out
  • 逼 : Ⅰ動詞1 （逼迫; 給人以威脅） compel; force; drive; threaten 2 （強迫索取） extort; exert pressure ...
  • 近 : Ⅰ形容詞1 （空間或時間距離短） near; close 2 （接近） approaching; approximately; close to 3 （親...
  • 離散 : dispersed; scattered about; separated from one another; spread; debunching; straggling; fringing;...
  • 逼近 : 1 （靠近 接近） press on towards; gain on [upon]; approach; crowd on; close in on; draw near 2 [...
  1. The approach includes ( 1 ) obtaining the cutter - location data based on parameter curves. ( 2 ) tessellation of the trim nurbs surfaces into triangles. ( 3 ) interference detection and tool - position correction

    在曲面的參數線上規劃刀位軌跡，將曲面用三角片離散逼近，利用刀具曲面與三角片的幾何相關性進行干涉檢查及刀位修正。
  2. Moreover, the block time - recursive 2 - d rdgt algorithms and their unified parallel lattice structure implementation are extended from 1 - d rdgt case. three applications of the rdgts are investigated : gabor representation for transient signals via the rdgts, mnr fid signal enhancement via the oversampled gabor transforms, representation and approximation of time - varying systems via the rdgts. the experimental results show the efficiency and advantages of the rdgts in applications

    研究了基於實值離散gabor變換的瞬變信號表示演算法、基於過抽樣實值離散gabor變換的核磁共振fid信號增強演算法以及基於實值離散gabor變換的線性時變系統表示與逼近方法，實驗結果驗證了實值離散gabor變換在應用方面的優越性和有效性。
  3. Secondly, based on nurbs curves approximation algorithm, a nurbs surface approximation algorithm on discrete data sets is given. thirdly, a shape - preserving parametric surface interpolation to data set is given

    2基於所給的nurbs曲線的逼近演算法，建立了帶插值條件的離散點集的nurbs曲面的逼近演算法。
  4. The nurbs curves and surfaces approximation to constrained data sets is discussed in this dissertation. the major works are as follows : firstly, based on simulated annealing algorithm and least square principle, a nurbs curves approximation algorithm to constrained discrete data sets is presented

    本文討論了帶約束的離散點集的nurbs曲線、曲面的逼近問題，主要工作如下： 1基於模擬退火演算法和最小二乘法，給出了帶插值條件的離散點集的nurbs曲線逼近的演算法。
  5. In chapter two, we consider full disceret scheme of mixed finite element methods for the following initial - value problems of linear integro - differential equations of parabolic in this chapter, we give the error analysis of this full discrete scheme and get optimal error estimates for the discrete solutions of u and p

    第二章討論下述線性拋物型積分微分方程初邊值問題混合有限元方法的后差全離散格式。給出了該全離散格式的誤差分析，得到了離散解逼近未知函數u以及伴隨速度p的關于空間和時間的最優階誤差估計。
  6. It is proved that the investment decision - making process which is described by general backward stochastic differential equations ( bsdes ) can be approached by discrete investment

    摘要證明了一般的倒向隨機微分方程所描述的投資決策過程可用離散的投資決策過程進行逼近，並給出了逼近誤差的估計。
  7. Only clouds of points instead of grids are distributed over the computational domain and the spatial derivatives of the considered partial equations are estimated using a least - square curve fit on local clouds of points

    與傳統的網格方法不同，無網格方法的核心是用「點雲」離散求解區域，並基於當地點雲離散結構，引入二次極小曲面逼近空間導數。
  8. The preliminary results obtained by solving n - s equations show - viscous effects clearly. in addition, based on euler equations the effects of point distribution, cloud structure and weight selection on computational results have been analyzed, which results in having a convenient technique of point distribution in the computational domain and a rule of point selection forming an appropriate. clouds of points used in the computation

    此外，論文結合無粘euler方程的求解，對無網格演算法涉及的計算域內點的分佈、當地點雲結構及空間導數逼近的加權因子等問題對計算結果的影響進行了分析和比較，完善了方便的區域離散布點方法，明確了點雲生成選點準則。
  9. Reinforcement learning algorithms that use cerebellar model articulation controller ( cmac ) are studied to estimate the optimal value function of markov decision processes ( mdps ) with continuous states and discrete actions. the state discretization for mdps using sarsa - learning algorithms based on cmac networks and direct gradient rules is analyzed. two new coding methods for cmac neural networks are proposed so that the learning efficiency of cmac - based direct gradient learning algorithms can be improved

    在求解離散行為空間markov決策過程（ mdp ）最優策略的增強學習演算法研究方面，研究了小腦模型關節控制器（ cmac ）在mdp行為值函數逼近中的應用，分析了基於cmac的直接梯度演算法對mdp狀態空間離散化的特點，研究了兩種改進的cmac編碼結構，即：非鄰接重疊編碼和變尺度編碼，以提高直接梯度學習演算法的收斂速度和泛化性能。
  10. A smoothing technique is combined with optimum approximation and finite element piece - wise interpolation in the method, it can simultaneously process measured vector components, imp ro ve smoothing capability of solution, space composed of original discrete points and increase the accuracy of the solution, especialy its derivatives

    該方法結合最佳逼近、有限元分片插值與光順技巧，對測量向量各獨立分量進行處理，改善了原離散點構成的解空間的光滑性，提高了解尤其是導數場的精度，在測量區域內再現了光順向量函數及連續的導數。
  11. Lastly, aiming at the poor results which all current algorithms do for directional textures, and cannot synthesis texture directly, aiming at the particularity of this kind of textures, we bring forward the conceptions of non frontal parallel textures and frontal parallel textures. by analyzing texture ' s direction through fourier spectrum, we introduce the conception of main direction, and solve the approximation value of texture ' s main direction by discrete approximated approach. by this way, we can synthesis indirectly simple structural non frontal parallel textures

    最後針對現有演算法對帶有方向的紋理合成效果差，無法直接合成紋理圖像的難點，本論文首先提出了非正平行紋理與正平行紋理的概念，分析了它們之間的內在聯系，引入了兩個角度參數來描述紋理的朝向，採用傅立葉頻譜法分析紋理的方向特性，並提出了紋理主方向的概念，本論文引入離散逼近的方法來求解出紋理主方向的近似值，這樣我們就能用一種間接的方法合成簡單的結構性非正平行紋理。
  12. With the structure character of coiling robot, the transformed equations of robot movement is established by using equal - power coordinate transformation. the path scheduling method of robot is deeply researched and then imitates the robot ' s movement path by using b - splint function on the disperse point gotten by scheduling on robot ' s coiling movement path to ensure the robot ' s movement track to be a clean and continuous line. then the track is optimized by dynamic scheduling method

    結合繞線機器人的結構特點，利用齊次坐標變換建立起機器人運動變換方程，探討了機器人路徑規劃的一般方法，並利用b樣條函數對機器人繞線運動路徑規劃所得的離散路徑點進行逼近，以保證機器人運動軌跡是一條光滑連續的曲線，並利用動態規劃方法對機器人進行時間最優軌跡規劃。
  13. In this paper, we consider mixed finit element methods for the initial - boundary value problems of two order hyperbolic equations and linear integro - differential equations of parabolic type, obtain the error estimates of the discrete schemes for this two kinds of problems. in chapter one, we consider the expanded mixed finite element methods for the followling 2nd order hyperbolic problems this method expands the standard mixed formulation in the sense that three variable are explixitly treated : the scalar unknwon, its gradient and its flux

    本文討論了二階雙曲方程和線性拋物型積分微分方程方程初邊值問題的混合有限元方法，得到了這兩類問題混合有限元離散格式的誤差估計。第一章討論二階雙曲初邊值問題的擴展混合元方法。該方法能同時逼近未知函數、未知函數的梯度和流體的流量，較好的模擬了帶有混合型邊界條件的二階雙曲問題。
  14. A class of nonconforming finite elements are applied to hyperbolic equation with semidiscretization on anisotropic meshes, the optimal error estimates are derived

    摘要在各向異性條件下，討論了雙曲型方程的一類非協調有限元逼近，給出了半離散格式下的最優誤差佑計。
  15. The characteristic approximation is used to handle the convection part along the direc - tion of fluid namely characteristic direction to ensure the high stability of the method in approximating the sharp fronts and reduce the numerical diffusion ; the mixed finite element spatial approximation is employed to deal with diffusion part and approximate the scalar unknown and the adjoint vector function optimally and simultaneously ; in order to preserve the integral conservation of the method, we introduce the modified characteristic method

    該方法對方程的對流部分沿流體流動的方向即特徵方向離散以保證格式在流動的鋒線前沿逼近的高穩定性，消除數值彌散現象；對方程的擴散部分採用最低次混合有限元方法離散、同時以高精度逼近未知函數及未知函數的梯度；為保證方法的整體守恆性，在格式中引入修正項
  16. The new method is a combination of characteristic approximation to handle the convection part, to ensure the high stability of the method in approximating the sharp fronts and reduce the numerical diffusion, a smaller time truncation is gained at the same time, and a mixed finite element spatial approximation to deal with the diffusion part, the sealer unknown and the adjoint vector function are approximated optimally and simultaneously

    此方法即為對方程的對流項沿流體流動的方向即特徵方向進行離散，從而保證格式在流動鋒線前沿逼近的高穩定性，消除了數值彌散現象，並得到了較小的時間截斷誤差；另一方面，對方程的擴散項採用混合元離散，可同時高精度逼近未知函數及其伴隨向量函數，理論分析表明，此方法是穩定的，具有最優的l ~ 2逼近精度。
  17. This feature reflects the physical phenomenon of breaking of waves and development of shock waves. in the fields of fulid dynamics, ( 0. 2. 1 ) is an approximation of small visvosity phenomenon. if viscosity ( or the diffusion term, two derivatives ) are added to ( 0. 2. 1 ), it can be researched in the classical way which say that the solutions become very smooth immediately even for coarse inital data because of the diffusion of viscosity. a natural idea ( method of regularity ) is obtained as follows : solutions of the viscous convection - diffusion pr oblem approachs to the solutions of ( 0. 2. 1 ) when the viscosity goes to zeros. another method is numerical method such as difference methods, finite element method, spectrum method or finite volume method etc. numerical solutions which is constructed from the numerical scheme approximate to the solutions of the hyperbolic con - ervation laws ( 0. 2. 1 ) as the discretation parameter goes to zero. the aim of these two methods is to construct approximate solutions and then to conside the stability of approximate so - lutions ( i, e. the upper bound of approximate solutions in the suitable norms, especally for that independent of the approximate parameters ). using the compactness framework ( such as bv compactness, l1 compactness and compensated compactness etc ) and the fact that the truncation is small, the approximate function consquence approch to a function which is exactly the solutions of ( 0. 2. 1 ) in some sense of definiton

    當考慮粘性后，即在數學上反映為（ 0 . 1 . 1 ）中多了擴散項（二階導數項） ，即使很粗糙的初始數據，解在瞬間內變的很光滑，這由於流體的粘性擴散引起，這種對流-擴散問題可用古典的微分方程來研究。自然的想法就是當粘性趨于零時，帶粘性的對流-擴散問題的解在某意義下趨于無粘性問題（ 0 . 1 . 1 ）的解，這就是正則化方法。另一辦法從離散（數值）角度上研究僅有對流項的守恆律（ 0 . 1 . 1 ） ，如構造它的差分格式，甚至更一般的有限體積格式，有限元及譜方法等，從這些格式構造近似解（常表現為分片多項式）來逼近原守恆律的解。
  18. The adoption of a fuzzy neural network control strategy that features satisfactory ability of self - learning and nonlinear approaching. the charging current traces dynamically the battery - dependent acceptable curves to maintain the charging process under optimal status

    -採用具有良好自學習能力和非線性逼近能力的模糊神經網路控制策略，使充電電流動態跟蹤離散的可接受充電曲線，使充電過程始終在最佳狀態下進行。
  19. Finally the convection - dominated integro - differential equations of parabolic type are considered, the optimal error estimates for the unknown c and the adjoint flux p gained in the previous parts are still hold

    最後將此方法推廣用於求解對流占優的積分微分方程問題，誤差分析表明離散格式對c ， p也具有最優的逼近精度。
  20. At first, the fundamental principles on wavelet transform ( wt ) and its reconstruction, specially on one - dimension cwt, binary discrete a, # cwt and their reconstruction, are provided. next, the principles on vlsi realization of one - dimension cwt are expounded, and the relevant methods of the implementation are classified and compared with each other. a systematic algorithm for approximating the wavelet function and a example of calculation are gived. it is demonstrated by the example that the algorithm is simple, effective, low erroneous and can be applied to approximating the wavelet function with analytic expression or equal interval samples in time - domain

    論文介紹了小波變換特別是一維連續小波變換和二進離散，柵格下的連續小波變換與重構的基本原理；闡述了小波變換vlsi實現的原理，並對相關的實現方法進行了分類和比較；提出了一種系統地逼近小波函數的演算法，並給出了計算實例；計算結果表明，該演算法簡單、有效、誤差小且適合於逼近具有時域解析表達式或給定了等時間間隔時域樣點值的小波函數。
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