滿射線性映射 的英文怎麼說

中文拼音 [mǎnshèxiànxìngyìngshè]
滿射線性映射 英文
surjective linear mapping
  • 滿 : Ⅰ形容詞1 (全部充實; 達到容量的極點) full; filled; packed 2 (滿足) satisfied; contented; conte...
  • : Ⅰ動詞1 (用推力或彈力送出) shoot; fire 2 (液體受到壓力迅速擠出) discharge in a jet 3 (放出) ...
  • : 名詞1 (用絲、棉、金屬等製成的細長的東西) thread; string; wire 2 [數學] (一個點任意移動所構成的...
  • : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
  • : 動詞1. (因光線照射而顯出物體的形象) reflect; mirror; shine 2. (放映) project a movie
  • 線性 : [數學] [物理學] linear; linearity線性代數 linear algebra; 線性方程 linear equation; 線性規劃 line...
  1. In the third chapter, we will study the existence and uniqueness of the classical global solution and generalized global solution to the periodic boundary value problem and the cauchy problem for this kind of equation. in the second chapter, we study the following nonlinear wave equation of higher order : with the initial boundary value conditions or with where a1, a2, a3 > 0 are constants, ( s ), f ( s0, s1, s2 s3, s4 ) are given nonlin - ear functions, u0 ( x ) and, u1 ( x ) are given initial functions. for this purpose, by green ' s function of a boundary value problem for a fourth order ordinary differential equation we first reduce the problem ( 1 ) - ( 3 ) to an equivalent intergral equation, then making use of the contraction mapping principle we prove the existence and uniqueness of the local classical solution for the intergral equation

    本文分三章,第一章為引言;第二章研究一類非高階波動方程的初邊值問題的整體古典解的存在和唯一,以及古典解的爆破;第三章研究此方程的周期邊界問題和cauchy問題的整體廣義解和整體古典解的存在和唯一,具體情況如下:在第二章中,我們研究一類非高階波動方程的如下初邊值問題:或或其中a _ 1 , a _ 2 , a _ 3 0為常數, ( s ) , ( s _ 0 , s _ 1 , s _ 2 , s _ 3 , s _ 4 , )為已知的非函數, u _ 0 ( x ) , u _ 1 , ( x )為已知的初始函數,為此,我們先用四階常微分方程邊值問題的green函數把上述問題轉化為等價的積分方程,然後利用壓縮原理證明此積分方程局部古典解的存在和唯一,又用解的延拓法證明上述問題整體古典解的存在和唯一,主要結果有:定理1設u _ 0 ( x ) , u _ 1 ( x ) c ~ 4 [ 0 , 1 ]且滿足邊界條件( 2 ) ,若以下條件滿足:其中a , b月0為常數, w
  2. Secondly, a network based on multi - terminal components modeling methodology was applied to model mems at system - level by the analogy and mixed - signal modeling tool of vhdl - ams, for the system - level model of mems is a mixed signal model, which has attributes of multi - energy domains coupling, multi - signals mixed and interacting between discrete - event subsystems and continuous - time subsystems. with this method, the whole system can be divided into some subsystems defined as multi - terminal components ; the behavior of the subsystems depends only on their terminal signals ; the information exchange between subsystems was done by the signals at their terminals. the continuous - time systems or discrete - event systems can be modeled and simulated with this method, which satisfied the requirements of nonlinear systems and large signals analysis

    同時,針對mems的系統級模型是一個混合信號模型,具有多能量域耦合、多信號混合、離散事件子系統與連續時間子系統交互的特點,使用vhdl - ams作為混合信號模型建模的工具,採用多埠組件網路建模方法建立了mems系統級模型,把微型機電系統分解為多個子系統或組件,各子系統被定義為多埠組件,子系統的內部行為通過其埠行為來描述,子系統間的能量與信號的交換通過組件的埠來實現,從而實現了對連續時間系統和離散事件系統的建模與模擬,滿足了非系統以及大信號分析要求。
  3. For real - time requirement, each water particles cluster is rendered as a small circular area in a plane that faces the viewer, and this small area is texture - mapped with a pre - captured image of water particles cluster, with an intensity - based alpha channel

    滿足實時要求,使用垂直於當前視的平面上的一小塊圓形區域,結合紋理技術,對水粒子團進行造型。
  4. The integrated analyzing and sorting toward ids data, the accurate forecasting of the intruders and common visitors etc, all come down to the multiple data conformity disposal. therefore, it is vitally important to develop a perfect nonlinear conformity disposal method. however, some favorable characters of ann can content these ids working demands perfectly, in additon, the capability of nonlinear mapping of ann also make sure that the system can execute simple or complex classification and save the information into the coefficent of connecting power, maintain the network robust and fault toleration. so more and more people alter one after another their working focus to the nonlinear mathematic model based on the ann in order to resolve the complex problems in ids system much better

    入侵檢測工作屬于分類識別問題,其中存在著大量的非問題,對入侵檢測資料進行綜合分析與分類,準確判別惡意訪問和正常訪問等都涉及到多資料的整合處理,因此研製理想的非整合處理方法是非常必要的,而神經網路由於其內在的對不確定的學習與適應能力,恰好能滿足入侵檢測工作分類識別的需求,另外神經網路的非能力也是保證其成功實現各種簡單或復雜分類的主要原因,它將信息分散式存儲于連結權系數中,使網路具有較高的容錯和魯棒
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