正則項 的英文怎麼說
中文拼音 [zhēngzéxiàng]
正則項
英文
regular terms-
This tab shows a more advanced use of regular expressions
此選項卡演示正則表達式的更高級用法。For example, you can expand the chapter heading regular expression to return more than just chapter headings
例如,可以擴展章節標題正則表達式,以返回比章標題范圍更廣的匹配項。Then, a new regularized conjugate - gradient reconstruction algorithm was proposed for optical tomograpy, in which the ill - posedness of the reconstruction problem and as a result the quality of the reconstructed image are improved by introducing two regularization terms of image entropy and the local smoothing function
其次,提出了一種正則化共軛梯度ot圖像重建演算法,通過引入圖像熵和局部平滑函數作為正則化項有效改善了重建問題中的病態特性,提高重建圖像的質量。最後,提出一種多解析度的ot圖像重建演算法。Adding this registry key overrides the data sources window s internal regular expression that controls caption labels
添加此注冊表項會重寫控制標題標簽的「數據源」窗口的內部正則表達式。This paper put forward the specialized evaluation indicators, which based on the dynamic and static analysis, the quantitative and qualitative analysis. on the condition of good economic effect, high social benefit and high ecological efficiency, the project is feasible
科學的投資項目決策,只有在項目的經濟效益為「正值」 ,社會效益良好、生態效益可行,則該項目才是可行的;如果項目的經濟效益差,社會效益和生態效益好,該項目也是可行的,如果項目的經濟效益好,社會效益和生態效益較差,則項目不可行。We deduce easily the coherent term of quantum dynamical model ( the off - diagonal of reduced density matrix ) by improving the nature of displace operator and the nature of coherent states. then, the interaction is energies of a two - photon mechanism and the usual one - photon or liner driving mechanism. we deduce the coherent term by improving the nature of squeezing operators, displace operators and canonical transformation
其一,僅有阻尼相互作用和勢能相互作用,此時利用位移算符的性質和相干態的性質很方便地推導了量子動力學模型的相干項(約化密度矩陣的非對角元) ;其二,考慮的是既有單光子相互作用又有雙光子相互作用,這時利用相干態、壓縮算符及正則變換等的性質推導出相干項。You will also add a regular expression to the list of terms that the smart tag recognizes, and create an action that will be available when the user clicks the smart tag
還將向智能標記識別的術語列表中添加一個正則表達式,並創建一項在用戶單擊智能標記時可以使用的操作。Checks that the entry matches a pattern defined by a regular expression
檢查項與正則表達式定義的模式是否匹配。A regularization method for determining the source term in a heat equation
決定熱傳導方程源項的一個正則化策略Based on delimiting start end strings, matching regular expressions, and the occurrence of the text
根據分隔開始/結束字元串、匹配正則表達式和文本的匹配項,從Each captured submatch is stored as it is encountered from left to right in a regular expressions pattern
每個捕獲的子匹配項按照它們在正則表達式模式中從左到右出現的順序存儲。Secondly, to perfect the known restoring models, a new space - adaptive regularization model of image restoration is constructed by redesigning regularized parameter and regularized item
第二,在現有復原模型的完善上,重新構建正則化參數與正則化項,構造了新的具有空間自適應性質的正則化圖像復原模型。This thesis introduces and analyses in detail the research and application of regularization in image restoration, the main contributions and creativities are listed as follows : firstly, on the basis of the regularization technique for dealing with ill - posed problems, starting from the mathematical theories about regularization, analyzing the degraded model and the ill - posed character of image restoration, this paper mainly discusses the regularized parameter and regularized item, and the solution approaches and fast algorithms are also summarized, therefore perfects the essential theories about regularization in image restoration
本文針對圖像復原中正則化方法的研究及應用進行了廣泛深入的探討與分析,主要工作和創新點如下:第一,在正則化技術解決病態問題的基礎上,從正則化方法數學理論入手,分析了圖像的退化模型和圖像復原的病態特徵,重點討論了正則化參數和正則項的選取,並總結了其求解演算法及快速實現方法,完善了正則化方法圖像復原的基本理論。In this paper, three correlative results are given : 1 ) the average crossing number of graph with n vertices and q edges can be signified approximately by quadratic equation of q. 2 ) the average crossing number of graphs with bigger girth is greater than that with smaller girth within given vertices and edges. 3 ) the average crossing number of r - regular graphs greater than that of non - regular graphs within given vertices and edges where n is odd or r < n / 2
並得出相關的規律: 1 ) n個頂點q條邊的單二連通分支圖的平均交叉數aac ( n , q )可近似地表示為q的二次多項式, 2 )在給定頂點數n與邊數q的單二連通分支圖中圍長較大的圖的平均交叉數大於圍長較小的圖的平均交叉數, 3 )在給定頂點數n與邊數q的單二連通分支圖中當n為奇數或r n / 2時, r正則圖的平均交叉數大於非r正則圖的平均交叉數。When adding an entropy function as regularizing term to the lagrangian function, we obtain a smooth approximate function for m ( x ), which turns out to be the exponential penalty function
當將熵函數作為正則項加到拉格朗日函數上,我們得到了逐點逼近於m ( x )的光滑函數。經證明,該函數即為指數罰函數。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。In this thesis, we extend the entropy regularization method in two ways : from the min - max problem to general inequality constrained optimization problems and from the entropy function to more general functions
本文從兩個方面發展了這種熵正則化方法,即將其從極大極小問題推廣到一般不等式約束優化問題上和用一般函數代替熵函數作正則項,建立新的正則化方法。Regular polynomial matrix
正則多項式矩陣Maximum entropy method is an effective smoothing one for the finite min - max problem, which, by adding shannon ' s informational entropy as a regularizing term to the lagrangian function of min - max problem, yields a smooth function that uniformly approaches the non - smooth max - valued function
極大熵方法是解有限極大極小問題的一種有效光滑化法,它通過在極大極小問題的拉格朗日函數上引進shannon信息熵作正則項,給出一致逼近極大值函數的光滑函數。By contriving appropriate algorithms in the computations, the regularized parameter can automatically correct to the appropriate value due to its adaptive character, meanwhile, the adaptive effect is developed with a weight matrix included in the regularized item
運算中合理地設計演算法,自適應的正則化參數可以自動修正到最優值,同時自適應加權的正則項使演算法的性能更加完善。分享友人