泊松函數 的英文怎麼說

中文拼音 [bósōnghánshǔ]
泊松函數 英文
poisson function
  • 泊 : 泊名詞（湖） lake
  • 松 : Ⅰ名詞1 （松樹） pine 2 （絨狀或碎末狀食品） dried meat floss; dried minced meat 3 （姓氏） a surn...
  • 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
  • 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. Based on the fact of generating the synthetic data using poisson distribution function and exponential distribution function, the performance of hy algorithm and the comparison among hy algorithm, apriori algorithm and dhp algorithm is experimented. these experiments include the one that compares the execution time using variant synthetic data and variant minimum supports, and the scale - up one that compares the execution time using variant transaction number and variant item number in synthetic data. finally the results of the experiments are analysed

    在構造基於泊松分佈函數和指數分佈函數的合西南交通大學碩士研究生學位論文第iii頁成數據的基礎上，對hy演算法的性能及其與apriori演算法和dhp演算法的比較進行了實驗，這些實驗包括針對不同的合成數據和不同的最小支持度，對各演算法的執行時間進行比較的實驗以及針對合成數據的不同的事務數和不同的項數對各演算法的執行時間進行比較的規模實驗，並對實驗結果進行了分析，反映出hy演算法具有良好的性能。
  2. By solving possion equation, the automotive generation of 3 - d body - fitted coordinates ( bfc ) grid system is completed with its density controlled by the distribulation functions p, q, r. 4. a detailed description of the solving mode

    用微分方程法生成計算網格，採用泊松方程完成無堵塞泵的三維貼體網格的自動生成，通過構造波松方程源項p 、 q 、 r分佈函數控制網格的疏密度； 4
  3. Two factors are considered including distribution functions and detected flow data, and a vehicle generator of micro - scale is proposed based on detection period

    用於描述一定時間內交通流分佈規律的離散隨機函數包括泊松分佈、二項分佈、負二項分佈等。
  4. There are many kinds of ways to solve the electrostatic field of two - dimensional laplace ’ s equation or the poisson ' s equation, like the separation of variables, green ’ s function or alternative means. but if their boundary shapes are quite complex, it is extremely difficult to use these usual methods, and, in general, it is impossible to work out even there is such peculiar instance as analytic solution, or obtains the approximate solution

    對二維拉普拉斯方程或泊松方程的平面場的解法有多種，如分離變量法、格林函數法或者其他方法，但如果它們的邊界形狀比較復雜，用這些通常的方法求解會非常困難，即使對于存在有解析解的特殊情況，一般說來也不可能求出，而且求得的只能是近似解。
  5. The problem has been studied from two sides, firstly, from the viewpoint of applicability, based on the development strategic objectives of the oil company, with the aim to unify the exploration and extraction decisions of the resources in an integrated framework, and integrate the macro economic and technical objectives with micro economic and technical models of an oil well, an integrated non - linear dynamic optimal control model has been constructed, the objective is the benefit maximum of the exploration and extraction of the resources, and the optimal strategies are obtained by changing the problem into a non - linear mathematical programming problem, on the other hand, from the more macro level, based on the analysis of the characteristics of the exploration and extraction activities of oil and gas resources, a conclusion is easily deduced that the procedure is full of randomicity, then discovering procedure of oil deposit is proved to be a poisson process, and the reserves process is a supermartingale process, so the model of exploration discovery rate and the reserves model could be constructed

    本文從兩個側面對此問題進行了研究，首先從實用性出發，以公司層次的戰略性規劃目標為基礎，將勘探階段與開發階段的工程技術及經濟方面的決策整合在一個模型框架內，同時將宏觀層次的經濟技術目標與單個油氣井生產的微觀技術經濟模型相結合，以油氣資源勘探與開發的經營效益最大化為目標，建立了一個非線性確定型綜合動態優化模型，通過將原非線性最優控制問題轉化為一非線性數學規劃問題進行了求解。其次從相對更宏觀的層次上，通過對油氣資源勘探與開發的特點分析，認為具有很強的隨機性，證明了勘探活動發現油氣藏的過程為一泊松過程，所發現的油氣藏儲量為一上鞅過程，在此基礎上，建立了油氣藏勘探發現率模型及儲量模型，在油氣價格服從幾何布朗運動條件下，以油氣開採收益最大化為目標，建立了一個油氣資源勘探與開發的隨機最優控制模型，採用動態規劃方法得到了值函數的hjb方程，並針對方程的特點，以及方程及其變量所對應的經濟學意義，對最優策略的求解進行了一些討論。
  6. This paper considers a market in which the prices of the securities follow diffussion - jump processes and the brownian motion and drift process are not directly observable and the only available information for investors are the prices of the securities, the intensity functions of the possion processes and the interet rate

    摘要本文考慮一個這樣的市場環境：風險資產的價格是一個跳躍擴散過程並且價格動態方程中所包含布朗運動以及漂移過程都是不能直接觀測的，投資者僅能觀測到股票的價格、泊松密度函數及無風險利率。
  7. The third section discusses that when every stage incurs fixed ordering cost and each uses echelon stock ( r, q ) policy, we assume that demand is a poison process, and we use a lower bound as near - optimal solution for a two - stage inventory system

    第三節討論在每個庫存點訂購費都是正數時，各點採用級庫存（ r ， q ）策略，假設1個需求是泊松過程的兩點系統，對該系統運用下界函數法可以近似地求出優化解。
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