未知函數 的英文怎麼說

中文拼音 [wèizhīhánshǔ]
未知函數 英文
unknown function
  • 未 : Ⅰ副詞1 （沒） did not; have not 2 （不） not Ⅱ名詞1 （地支的第八位） the eighth of the twelve ear...
  • 知 : Ⅰ動詞1 （知道） know; realize; be aware of 2 （使知道） inform; notify; tell 3 （舊指主管） admin...
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 未知 : unknown
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. 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。
  2. This paper also points out the consistency that can be generalized more than one dimension. so, we achieve the large sample property - consistency of this class of model on the fixed design. in this paper, for fixed design points xi ; under the assumption that the unknown function g is continuous function and the moment of random error exists and is finity, we discuss and show that the estimators n, gn and n2 for, g and 2 have strong consistency, p th - mean consistency for more general nonparametric weighted fuction

    本論文在x ；是固定設計的情況下，假定未知函數9 （ ? ）連續，對非參數權函數的條件更為一般和基本，並對隨機誤差e ；的矩的要求有限，討論並證明了在這些條件下， p ； g （ ? ）的估計量札lin （ ? ）及誤差方差a 』的估計量枯相合性和叭三2 ）階平均相合性
  3. In this article, we give sufficient conditions for the existence of solutions to the vectorial hamilton - jacobi equations with dirichlet boundary condition : obtaining, in addition, an application to the theory of existence of minimizers for a class of non - convex variational problems

    本文給出了一類依賴于自變量和未知函數的梯度的向量情況隱式偏微分方程的dirichlet問題的弱解的存在性的充分條件，並將該結果應用到一類非擬凸變分問題中去。
  4. Unlike the normal two stages estimate method ( the usual nonparametric weighted method combined with the least square estimate ), considering the characteristics of this model, this paper uses the least square estimate combining with the usual nonparametric weighted method and defines the estimators and n2 for the unknown parameter, the unkown fuction g ( ) and the unknown variance of errors 2

    與通常採用的兩階段估計方法即非參數權函數法結合最小二乘法不同，考慮到此模型本身的特性，本文採用最小二乘法結合一般非參數權函數估計方法，定義了未知待估參數和未知函數g （ ? ）及誤差方差~ 2的估計量（ ? ） _ n ， （ ? ） _ n （ ? ）和（
  5. Tracking differentiator approaches for solving optimization problems and finding roots of algebraic equations

    利用跟蹤微分器構造未知函數的尋優器及求根器
  6. In order to define this irrotationality condition mathematically, let us consider the equation of motion in terms of velocities.

    為了從數學上確定此無旋性條件，我們考慮以速度為未知函數的運動方程。
  7. In the paper the local polynomial method which is contained the local modelling approach is employed to estimate the unknown functions

    本論文使用局部光滑方法中的局部多項式方法給出未知函數的估計。
  8. The method is firstly applied to solve the linear convection - dominated diffusion problems and the optimal l2 - error estimates of the unknown function c and the vector flux p are gained

    此方法首先被用於求解線性對流擴散問題，得到了關于未知函數c及伴隨函數p的最優l ~ 2誤差估計。
  9. By use of the fourier transform, the problem can be solved with the help of two pairs of dual integral equations in which the unknown variables are the jumps of the displacements across the crack surfaces

    利用傅立葉變換，將問題的求解轉換為對以裂紋面上位移差為未知函數的對偶積分方程的求解。
  10. Expanded mixed finite element approximations of the parabolic problems are considered. error estimates for the scalar unknwon, its gradient and its flux in l2 - norm are obtained for this new mixed formulation

    通過數值分析進一步說明擴展混合元方法是穩定的，並得到了未知函數、未知函數的梯度和流體流量的l ~ 2 -誤差估計。
  11. Actually, n - s equation has three unknown functions u, v, p and three equations, now prandtl boundary layer equation has two unknown functions w, vand two equations only, and viscosity terms has partly reduced

    原來有三個未知函u ， v ， p及三個方程，現在只有兩個未知函數u ， v及兩個方程，且粘性項也少了一些，這些都是簡化的地方。
  12. The regression coefficients in mixed geographically weighted regression model characterize by that portion of its regression coefficients are unknown constants while other regression coefficients are unknown functions of geographical locations

    摘要混合地理加權回歸模型系數特徵是部分回歸系數為未知常數，而其它回歸系數為地理位置的未知函數。
  13. Based on this fomulation, expanded mixed finite element approximations of the hyperbolic problems are considered. optimal order error estimates for the scalar unknwon, its gradient and its flux in l2 - norms are obtained for this new mixed formulation

    給出了逼近未知函數、未知函數梯度和流體流量的最優l ~ 2模誤差估計以及擬最優的最大模誤差估計。
  14. Using the difference method and quasi - linearization method, the nonlinear differential equations, which include ten basic unknown functions in all, are reduced to a sequence of quasi - linear differential equations, which can be solved by the method of discrete orthogonalization

    採用差分及準線性化方法，將含有10個基本未知函數的偏微分方程組，變換成能用離散正交法編程求解的準線性微分方程組。
  15. Based on the fundamental solution of two perfectly bonded elastic halfspaces, and using the boundary integral equation method and the finite - part integral concepts, the problem is reduced to a hypersingular integral equation in which the unknown function is the crack opening displacement discontinuity

    首先根據雙材料空間的彈性力學基本解，使用邊界積分方程方法，在有限部積分的意義下導出了以裂紋面位移間斷為未知函數的超奇異積分方程。
  16. This paper consists of two parts : in the first part, we will discuss the prob - lem of the pth - mean, complete consistency for the estimators of a nonparamet - ric and linear model with l ~ p - mixingale errors ; in the second part, we will dis - cuss the problem of the rth - mean 、 complete consistency for the estimators of themodels above with weak stationary linear process errors and the uniformly mean consistency. to the nonparametric model y _ ni = g ( x _ ni ) + _ ni, 1 i n, let g _ n ( x ) = w _ ni ( x, w _ n1, … ? xnn ) y _ ni estimate the unknown function g ( x ). to the linear model y _ i - x _ i1 1 + … ? + x _ iq ? _ q, we use lse _ nj to estimate the unknown parametric _ j

    本篇論文主要是由兩大部分內容構成：一是關于誤差是l ~ p ?混合序列的線性回歸模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的p ~ -階平均相合性和完全收斂性問題；另一部分是關于誤差是弱平穩線性過程的線性模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的r ?階平均相合性和完全收斂性以及權函數估計的一致平均相合性問題。
  17. In chapter one, we propose a new mixed method called characteristics mixed finite element method for a convection - dominated diffusion problems with small parameter e : we handle the convection part whth backward difference scheme along the characteristics, obtain much smaller time - trunction errors and avoid numerical dispersion on the front of the peak curve of the flow : we use a lowest order mixed finite element method to deal with the diffusion part, so this scheme can approximate the unknow function and its following vector with high accuracy at the same time

    第一章中我們對小參數對流占優擴散問題提出了新的數值方法? ?特徵混合有限元方法，即對方程的對流部分採用沿特徵線的後退差分格式求解，以保證較小的截斷誤差限並避免了在流動的鋒線前沿數值彌散現象的出現；對流動的擴散部分採用最低次混合元方法求解，以保證格式對未知函數及伴隨向量的同時高精度逼近。由於該方法中檢驗函數可取分片常數，此格式在某種意義上具有局部守恆性質。
  18. In chapter two, we consider the expanded mixed finite element method for the 2nd order parabolic 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. based on this fomulation

    該方法是在傳統混合元基礎上的一種推廣，它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拋物問題。
  19. 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。
  20. The basic idea of the estimate method is, firstly, based on the linear model yi = x ' i + ei, defining the least square estimator n of the linear model for the unkown parametric ; secondly, using the estimator n we " ve got to substitute for in the original semiparametric regression model yi = x ' i + g ( xi ) + ei and using the usual nonparametric weighted function method to define the estimator gn ( - ) for the unknown function g ( ) ; finally, defining the estimator 2 for the unknown variance of errors 2

    其估計方法的基本思路是先基於線性模型y _ i = x _ i + e _ i ，定義未知待估參數的估計即此線性模型的最小二乘估計（ ? ） _ n ；然後將所得估計（ ? ） _ n代入原半參數回歸模型中，用一般的非參數權函數方法定義未知函數g （ ? ）的估計（
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