markov property造句
造句與例句
手機(jī)版
- On strong markov property of
運(yùn)動的強(qiáng)馬氏性及應(yīng)用 - On markov property of the risk reserve processes and continuous - time risk models with discete - type inter - arrival times
盈余過程的馬氏性與索賠到達(dá)間隔分布為離散型的連續(xù)時(shí)間風(fēng)險(xiǎn)模型 - Third we suppose that the effect of the break - down is delayed . usually , we can say that the process is markov process if the durations of working and repair have negative - exponentials , so we take the markov process as the original system , the system set up by modeling as the new system . new systems have not the markov properties , which is worth to study
因?yàn)橥ǔ＜僭O(shè)部件的工作與維修時(shí)間的隨機(jī)變量是服從指數(shù)分布的,因此可以用馬爾可夫過程來描述系統(tǒng),但是,在建立模型之后的系統(tǒng),稱為新系統(tǒng),不具有馬爾可夫性,因此這個新系統(tǒng)的可靠性指標(biāo)的給出就成為一個值得研究的問題。 - The introduction black - scholes models still assumed , namely the introduction of modern process ( wiener process , also called brownian motion ) to save the stock yield random fluctuations , weak markets and the effectiveness of the use of consistent share of the techniques ( ( markov property ) to describe the stock price change random process , the use of risk - neutral pricing theory through the analysis of the nature of asset price process martingale , established european style to the value of stock options with mathematical models
本文仍然引入black - scholes的模型假定,也即引入維納過程( wienerprocess , alsocalledbrownianmotion )來刻畫股票收益率的隨機(jī)波動,采用與弱型市場有效性相一致的股價(jià)的馬爾可夫性( markovproperty )來描述股票價(jià)格變化的隨機(jī)過程,運(yùn)用風(fēng)險(xiǎn)中性定價(jià)理論,通過分析資產(chǎn)價(jià)格過程鞅的性質(zhì),建立了歐式再裝股票期權(quán)價(jià)值的數(shù)學(xué)模型。 - For quantitative analysis of the combat platform fire application , the markov chain model of combat platform with reciprocal striking , hasty break through and shooting to dense target is studied by setting up markov chain which state and time are discrete according to the markov property in this process
摘要針對定量分析戰(zhàn)斗平臺火力運(yùn)用問題，根據(jù)該過程所具有的馬爾可夫性特點(diǎn)，將其描述為狀態(tài)離散、時(shí)間離散的馬爾可夫鏈，由此研究了一對一格斗、倉促突破戰(zhàn)斗、對密集目標(biāo)群射擊等情況下的馬爾可夫鏈模型。 - Its main idea is as follows : firstly , represent the solution of the dirichlet problem as the stochastic representations . then subdivide the boundary of the domain and make the problem discretized . sequently , use the strong markov property and the distributions of the time and place of hitting spheres for brownian motion or brownian motion with drift , and construct an auxiliary ball for the domain
基本思路：先將dirichlet問題的解用隨機(jī)表達(dá)式表示；隨后在定解區(qū)域邊界上進(jìn)行剖分，將問題離散化；接著利用布朗運(yùn)動、漂移布朗運(yùn)動等過程的強(qiáng)馬爾可夫性以及它們的球面首中位置或首中時(shí)分布，對定解區(qū)域構(gòu)作一個輔助球，從而求得離散化了的問題的解。 - It's difficult to see markov property in a sentence. 用markov property造句挺難的
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