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- wider stationary quantum stochastic processes 寬平穩量子隨機過程
- Certain Wider Stationary Quantum Stochastic Processes and Example in Statistical Mechanics 一類寬平穩量子隨機過程及實例分析
- Markov Process is an extensively applied stochastic process model. 馬爾可夫過程是一個有著廣泛應用的隨機過程模型.
- The set of past events affecting a given event in a stochastic process. 過去發生的事在一隨機過程中影響一給定事件的過去發生的一組事件
- As we all known, Brownian motion is an important type of stochastic process. 我們大家都知道,布朗運動是一類很重要的隨機過程。
- Karlin, S. and Taylor, H.M., A First Course in Stochastic Processes, Second Edition,Academic Press,1975. 《現代概率論基礎》,中國科學院研究生教學叢書,科學出版社,2001。
- The stochastic process method is applied to forecast Shanghai stock composite index trend. 摘要應用隨機過程方法預測了上證綜合指數的走勢。
- The paper gives conditions of measurability and progressive measurability on two-dimensinal stochastic Processes. 摘要給出了兩參數隨機過程的可測性及循序可測性的條件。
- Probabilistic dynamics, which is a general modeling theory for dynamic stochastic processes, is introduced. 介紹了描述動態隨機過程的一般性理論-概率動力學。
- quantum stochastic differential equation 量子隨機微分方程
- Furthermore, the convergence of the DHIA is proved theoretically through the Markov stochastic process theory. 最後根據隨機過程的理論知識,證明了該演算法的收斂性。
- Where the uncertain matrix is norm bounded and time-varying, while the external disturbance is a stochastic process. 假設不確定參數矩陣是時變,范數有界的,外部干擾是一個隨機過程。
- Conclusion The fuzzy stochastic process model can show the effect of students management. 結論模糊隨機過程模型能夠反映對學生的管理效果。
- A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes, 4th edition, McGraw Hill, Singapore, 2002. 徐義人,工程機率統計學,國立編譯館,台灣,民88年(1999)。
- It is not necessary to assume the concrete stochastic process model for a repairable system when we estim... 認為運用灰色預測模型來估計可修復系統的故障時刻,不必假定系統的隨機過程模型。且估計精度較高,是1種有效方法。
- The material presented in this chapter should give adequate preparation for those interested in specializing inspecific areas of advanced probability and stochastic processes. 這一章所講的內容,對有志於專攻高深概率和隨機過程方面的人,將給出充分的準備。
- The material presented in this chapter should give adequate preparation for those interested in specializing in specific areas of advanced probability and stochastic processes. 這一章所講的內容,對有志於專攻高深概率和隨機過程方面的人,將給出充分的準備。
- Research and teaching: Stochastic Process, Stochastic analysis, Risk theory, Financial Economics and Mathematical Finance. 主要研究和教學領域:隨機過程,隨機分析,風險理論,金融經濟學,金融數學。
- A temperature stochastic process has been suggested with utilizing Vasicek mean reversion model, considering about seasonal effect and time trend. 本文主要參照均值回復模型,考慮氣溫的季節變化和長期趨勢,建立反映氣溫變化的隨機模型,應用1980至1999年北京日平均氣溫對模型參數進行估計。
- Quantum Stochastic Differential Equations in Terms of Generalized Operators 廣義運算元意義下的量子隨機微分方程