隨機階函數 的英文怎麼說

中文拼音 [suíjījiēhánshǔ]
隨機階函數 英文
random step function
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 階 : 名詞1. （臺階） steps; stairs 2. （等級） rank 3. [醫學] （耳蝸的三個螺旋管的任一個） scala 4. [數學] order 5. [地質學] stage
  • 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
  • 隨機 : random stochasticrandom
  • 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. 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
  2. A necessary and sufficient condition with ergodic of 1 - order probability distribution function of stochastic process ( theorem 1 and corollary 1 ) and extended the general distribution theorem of stochastic variable under the case of weakly condition ( theorem2 ) are presented

    摘要提出了隨機過程一階概率分佈函數具有遍歷性的一個充分必要條件（定理1和推論1 ） ，並在較弱條件下，對一般的關于隨機變量函數分佈定理作了進一步的推廣（定理2 ） 。
  3. The obtained results in the paper are as follows : ( 1 ) the expansion of fourier series of orthogonal trigonometric polynomial for conditional mathematical expectation and function of random variable ; ( 2 ) the best approximation of trigonometric polynomial about another random variable for function of a random variable ; ( 3 ) the best approximation order of trigonometric polynomial for function of random variable

    摘要獲得了如下結果： （ 1 ）條件數學期望及隨機變量函數的三角多項式級數表達； （ 2 ）一個隨機變量關于另一個隨機變量的三角多項式的最佳逼近； （ 3 ）隨機變量函數被隨機變量三角多項式最佳逼近的階。
  4. Based on these results, the ergotic of 1 - order distribution function of stochastic primary phase periodic process are derived ( corollary 2 )

    利用這些結果，討論了隨機初相位周期過程一階分佈函數的遍歷性（推論2 ） 。
  5. The main idea of this method include two steps : at first, the approximate expression of function is obtained by method of weighted residuals ; then the first and second moment of the random function can be calculated with method of moment

    該方法的基本思想是利用加權殘值法獲得問題解的近似函數表達式，在此基礎上利用求解隨機變量函數的矩法求得隨機函數的一、二階矩等統計數字特徵。
  6. Underlying the assumption that the stock price accords with the model of the stock price fluctuating sources, by comprehensivily applying the stochasitic differential theory and no - arbitriagc thcory, this paper, under the conditions that the risk - free rate r is constant or ito stochasitic process, successively works out the option pricing about the stock price model with that the short - term profit function is piecewise lecture function arid that one with that the short - term profit function is possion jump process, derivats counterpart partial differential equation of option pricing. the outcome states : 1. when the short - term profit function is unusual flunctuating sources bring out a piecewise lecture function, this amendment on the lognormal distribution model does not improve the option price, because this partial differential equation of option pricing is the same one underlying the lognormal distribution model ( see equation 2. 14 )

    本文基於股價符合波動源模型的假設，綜合運用隨機微分理論等數學原理和無套利理論等金融理論，依此對短期收益率函數為分段階梯函數和possion跳躍過程的股價波動源模型分別在無風險利率是常數和隨機過程的條件下作了期權定價，推導出了相應的期權定價偏微分方程，結果表明： 1 、由異常波動源帶來的短期收益率函數是分段階梯函數時，這種對股價對數正態分佈模型的修正不能改善期權價格，因為基於這種模型的期權定價偏微分方程與基於股價對數正態分佈模型的期權定價偏微分方程完全相同（見方程2 . 14 ） 。
  7. This paper inquires into the problem of finding an upper bound for the expectation of recourse function when only first and second momen t constraints are available

    探討了在隨機向量的一階矩和二階矩條件下，尋找補償函數的期望值的一個上界的問題
  8. This paper discusses a variation equation problem in a class of singular stochastic control with stopping time, gives its solution under two different conditions, which is a one order continuous differentiable and concave function, and gives the exact form

    摘要討論了一類帶停時的奇異型隨機控制問題中的一個變分方程問題，並且在兩種不同的情況下給出了該變分方程的解，即為一階連續可導凹函數，並在兩種情況下給出了此函數的具體形式。
  9. 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。
  10. In regard to nonlinear stochastic optimization in which the restraint function was nonlinearly expressed with stochastic parameters, the advanced first - order second - moment method was employed to study the structural optimization numerical model based on component reliability or failure pattern reliability and the method to transform the problem of stochastic optimization to that of certain determinate optimization

    摘要針對約束函數被隨機參數非線性表達的隨機非線性優化問題，採用改進均值一次二階矩法，研究基於元件可靠度或各失效模式可靠度的結構優化的數學模型，以及將隨機優化問題化為確定性優化問題的方法。
  11. Abstract : the most critical task in designing a model based on predictive controller is identifying a reasonably good process model. the identification model of mould level of a continuous casting line in a steel plant is very difficult. due to the extremely high stochastic disturbance level, well - known parametric identification methods using random step function, prbs or stochastic test inputs are not successful. the present method based on orthogonal test inputs gives satisfactory results

    文摘:在設計一種基於預測控制器模型時，最關鍵的工作是識別一個合理可靠的過程模型.在鋼鐵廠的連續鑄造線上識別鑄模液位模型是很困難的，由於極高的隨機干擾水平，使得眾所周知的隨機階躍函數， prbs或隨機試驗輸入等參數識別方法都以失敗告終.而本文介紹的基於正交檢測的方法給出了令人滿意的結果
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