arithmetic sum 中文意思是什麼

arithmetic sum 解釋
算術和
  • arithmetic : n. 1. 算術，演算法；計算。2. 算術書。
  • sum : SUM ＝surface to underwater missile 艦對水下導彈[飛彈]。n 1 總數，總計，總額；【數學】和。2 〈the...
  1. One should therefore take the arithmetic mean as the sum.

    必須取算術平均作為和。
  2. Based on the analysis and research of current development of geographical network analysis, we summarize the limitation o f current research, and put forward making a geographical network analysis component with component technology, this method realizes geographical network analysis arithmetic and its values, improve the reuse of arithmetic. this method remedy mapx, mo etc gis component ' s geographical network analysis functipn, it also can resolve requirements for short path analysis, locating and servering analysis, material flowing analysis and connectivity analysis, at the same time this method is a beneficial reference for other gis component " design and realization. after mastered correlative theories and arithmetics, using com technology, we realize a geographical network analysis component, and apply it in system for flood material dispatch. the main content and work can be summarized as flows : 1. based on graph network model, we analysis and sum up geographical network analysis model and arithmetic, discuss the most important arithmetic - dijkstra arithmetic and improve it

    通過該思路不僅使研究成果得以應用，體現其價值，也提高了演算法的重用性；開發出來的地理網路分析控制項彌補了當前mapx 、 mo等基礎gis組件的地理網路分析功能，利用該控制項也能解決現實中對路徑分析、選址服務分析、物流分析、連通性分析等地理網路分析的迫切需求，同時該思路對gis組件設計開發也是一個有益的參考。本文在掌握相關理論和演算法基礎上，利用com技術實現了地理網路分析控制項，並在防汛物資調度系統中進行應用。本文主要內容和工作如下： 1 、以圖論中的網路模型為參考，分析總結了幾類基本的地理網路分析模型及演算法，對其中的核心演算法? ? dijkstra演算法進行了分析探討，並對該演算法進行了改進。
  3. Are both numeric, the result is their arithmetic sum

    均為數值，結果將為它們的算術和。
  4. The whole article consists of 6 parts : 1. object of the project and the development background of the relative technique are introduced. 2. the theory of the micro inertial heave height measurement is depicted. 3. arithmetic model base on matlab / simulink for micro inertial heave height measurement is offered, including the result analysis for the simulation. 4. the whole hardware design base on aduc841 single chip of the mimu data collection system is depicted. 5. software design is introduced. 6. adjusting and error compensation model of the mems is depicted. at last, sum - up, view and enhancement of the system are given

    本論文分成六個部分:第一部分介紹了課題研究的目的及相關技術的發展概況;第二部分主要論述微慣性測高的理論基礎;第三部分給出微慣性測高演算法的matlab模擬模型及模擬結果分析;第四部分給出基於微慣性傳感器及aduc841單片機的微慣性數據採集系統的硬體設計及調試方案;第五部分為微慣性數據採集系統的軟體設計;第六部分介紹了微慣性傳感器的標定及誤差補償方法。
  5. This article uses the direction - based arithmetic to segment the fingerprint image. it ' s merits and demerits are discussed in this article. arithmetic that is based on the sum of fingerprint ' s grey level variety is used to refining the effective area of fingerprint image

    在指紋圖像的后處理部分，作者提出了特徵點可靠性分析的方法，根據課題實際應用的要求提出了用增加拒識率來提高指紋識別速度的指紋匹配演算法，在實際的應用中取得了較好的效果。
  6. At present we already use tradition method ( non - linearity parameter estimate method -, logarithm coordinate graph explain method and surplus analysis method ) ascertain measure area ' s every element ' s background value and abnormity lower limit, manage result is difference between real data. this article use fractal method ' s sum arithmetic ascertain geochemistry abnormity. by the contrast of these two arithmetic and abnormity graph, we think receive better effect

    目前可用傳統的方法（非線性參數估計法、對數坐標圖解法和剩餘分析法）確定測區各元素的背景值和異常下限，處理結果與實際資料有一定差異。本文用分形技術中的求和演算法來確定地球化學元素的異常下限，實踐證明，其處理結果具有較好的效果。
  7. Based on the review of the evolutions of stock indices and the innovations of index products, this article discussed the different methods of index replication, and then sum med up those researches on different methods, arithmetic models and their implications, including quadric programming, lineal programming, robust regression, monte carlo simulation and genetic algorithm, etc. aiming to give a technical reference for index derivatives design, index arbitrage, and indexing investment

    摘要在回顧證券價格指數演變及指數衍生品創新的基礎上，探討了指數復制的不同方法，進而從文獻綜述的角度對證券價格指數復制中涉及到的方法與演算法模型進行整理，總結了二次規劃、線性規劃、魯棒回歸、蒙特卡洛模擬以及遺傳演算法等不同方法與模型的具體應用，為指數衍生品產品設計、指數套利以及實施指數化投資策略提供技術參考。
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