例句與造句

1. Stochastic optimal control for adjacent high - rise structures
   鄰接高聳結(jié)構(gòu)的隨機(jī)最優(yōu)控制
2. The unexistance of a class of stochastic optimal control problem
   關(guān)于隨機(jī)控制的最佳控制不存在問題
3. In this paper , the problem of stochastic optimal control with uncertain terminating time is discussed
   摘要文章研究了終時(shí)不確定的隨機(jī)最優(yōu)控制問題。
4. Research on the stochastic optimal control of inventory integrating remanufacturing and manufacturing system for the market
   制造系統(tǒng)集成庫存隨機(jī)最優(yōu)控制研究
5. Stochastic optimal control is an important content of the optimization theory for uncertain systems too
   隨機(jī)最優(yōu)控制也是隨機(jī)不確定系統(tǒng)優(yōu)化的一個(gè)重要內(nèi)容。
6. It's difficult to find stochastic optimal control in a sentence. 用stochastic optimal control造句挺難的
7. An adaptive rate control scheme based on the theory of stochastic optimal control was proposed . it can balance real - time transmission with continuity of video
   在隨機(jī)最優(yōu)控制理論的基礎(chǔ)上，提出了一種自適應(yīng)的碼率控制算法。
8. This paper utilizes stochastic optimal control theory , ito formula in stochastic analysis and nonlinear filter technique to maximize the expected utility from the terminal wealth
   本文運(yùn)用隨機(jī)最優(yōu)控制理論、隨機(jī)分析中的it ( ? )公式及非線性濾波技術(shù)，研究投資者極大化終止時(shí)刻期望效用的最優(yōu)投資策略問題。
9. By use of transform , the problem of stochastic optimal control with uncertain terminating time is transformed into that with determinate terminating time ; then the problem is solved using the theory of stochastic optimal control with determinate terminating time
   通過變換，將終時(shí)不確定的隨機(jī)最優(yōu)控制問題轉(zhuǎn)化為終時(shí)確定的隨機(jī)最優(yōu)控制問題；然后，利用終時(shí)確定的隨機(jī)最優(yōu)控制理論來求解。
10. Under the analytical framework of the principal - agent theory and the transaction cost theory , this thesis will apply stochastic optimal control model to analyze the agent ' s action and welfare under uncertainty and a share contract
    本文擬在委托代理理論和交易成本理論的框架下用經(jīng)濟(jì)學(xué)中廣泛運(yùn)用的隨機(jī)最優(yōu)控制理論，對(duì)不確定性與分成制契約條件下的代理人的行為選擇及福利水平作一個(gè)比較深入的研究。
11. This paper applies the theory of stochastic optimal control to deal with the optimal investment strategy problem for defined - contribution occupational pension scheme , sets up the optimal investment models under the minimum payment loss of the occupational pension funds in the deterministic and stochastic contribution cases respectively , solves the hjb equations to obtain the explicit form solutions of the optimal investment decision and payment polices , and then uses monte carlo simulation for the optimal strategy in the deterministic contribution case
    摘要利用隨機(jī)控制理論研究繳費(fèi)確定型企業(yè)年金的最優(yōu)投資策略，分別在固定繳費(fèi)和隨機(jī)繳費(fèi)情形下，建立基于給付損失最小化的企業(yè)年金最優(yōu)投資模型，通過求解hjb方程得到最優(yōu)投資策略和給付水平的顯式解，并對(duì)固定繳費(fèi)時(shí)的最優(yōu)策略進(jìn)行蒙特卡洛仿真模擬。
12. It is not trivial generalization for the usual theory of the stochastic optimal control to study the stochastic optimal control problems . the above problems motivated the author to : ( 1 ) conquer the lack of the indirect computing methods for the uncertain linear programming to seek the direct computing method ; ( 2 ) conquer the singularity of stochastic or fuzzy factor in the usual uncertain programming models to give the hybrid programming models which contains stochastic and fuzzy parameters ; ( 3 ) further strengthen the applications of bsde in the stochastic optimal control to extend the related theories of the usual stochastic optimal control , and to enlarge the applied field
    以上問題和想法促使作者進(jìn)行以下研究： ( 1 )克服不確定線性規(guī)劃的計(jì)算需要轉(zhuǎn)化成等價(jià)的確定性(或清晰)數(shù)學(xué)規(guī)劃進(jìn)行計(jì)算的不足，尋求直接計(jì)算的方法； ( 2 )克服傳統(tǒng)不確定規(guī)劃模型中不確定因素的單一性，提出隨機(jī)和模糊混合的不確定規(guī)劃模型； ( 3 )進(jìn)一步強(qiáng)化倒向隨機(jī)微分方程在隨機(jī)不確定系統(tǒng)最優(yōu)控制問題中的應(yīng)用，實(shí)質(zhì)性地推廣傳統(tǒng)的隨機(jī)最優(yōu)控制相關(guān)理論，擴(kuò)大隨機(jī)最優(yōu)控制的應(yīng)用領(lǐng)域，特別是在金融工作中的廣泛應(yīng)用。
13. Part ii is divided into two chapters ( chapters ii , chapters iii ) . under the analytical framework of the principal - agent theory and the transaction cost theory , we have applied stochastic optimal control model to analyze the agent ' s action and welfare under uncertainty and a share contract . our purpose is to get a clearer recognition of the operation mechanism of the share contract
    第二部分共分為兩章(第2章、第3章) ，這兩章的主要內(nèi)容是在委托代理理論和交易成本理論的框架下，通過構(gòu)造一個(gè)經(jīng)濟(jì)學(xué)中廣泛運(yùn)用的隨機(jī)最優(yōu)控制模型，對(duì)在不確定性與分成制下的代理人行為作一個(gè)形式化、模型化的研究，以期望對(duì)分成制契約運(yùn)行機(jī)理有一個(gè)更為清楚的認(rèn)識(shí)。
14. The objective function for the stochastic optimal control can be classified by the discounted cost problem and average expectation cost problem etc . the expression of specific objective function often depends its actual application problems , thus there are many types of theory study under the several objective functions in the usual stochastic optimal control , but the study methods are very similar
    具體的目標(biāo)函數(shù)表達(dá)形式，往往根據(jù)實(shí)際應(yīng)用問題的類型而變化，因而傳統(tǒng)的隨機(jī)最優(yōu)控制問題出現(xiàn)了在多種目標(biāo)函數(shù)下的理論研究形式，然而他們的研究手法和表現(xiàn)形式卻非常相似，是否能在一個(gè)較為統(tǒng)一的框架下表現(xiàn)它們，則成了一些研究工作者的追求目標(biāo)。
15. Upon to date , there is no existing review on uncertain programming theory and its applications , and there is no existing review on the applications of bsde in the stochastic optimal control problems . in the dissertation , recent studies on uncertain programming theories and their applications and the optimal control for continuous stochastic systems are first systematically overviewed
    本論文首先綜述了不確定規(guī)劃理論及應(yīng)用的研究成果和連續(xù)隨機(jī)系統(tǒng)最優(yōu)控制研究成果，以使人們對(duì)不確定系統(tǒng)優(yōu)化理論與應(yīng)用研究摘要不確定規(guī)劃理論應(yīng)用和隨機(jī)最優(yōu)控制研究有一個(gè)較為系統(tǒng)的了解。
16. So it is the aim of many authors to give a uniform objective function for studying stochastic optimal control problems . for the appearance of the backward stochastic differential equations ( bsde ) , the studies of the stochastic optimal control problems are one of the main factors , and along with studies of bsde . a uniform objective function for the stochastic optimal control can be defined using the solution of bsde by the coupled forward - backward stochastic differential equations
    隨機(jī)最優(yōu)控制的研究是促進(jìn)倒向隨機(jī)微分系統(tǒng)理論從出現(xiàn)到發(fā)展的重要因素之一，也正是倒向隨機(jī)微分方程的出現(xiàn)，使得可以通過正向和倒向隨機(jī)微分系統(tǒng)的耦合，用倒向隨機(jī)微分方程的解定義隨機(jī)最優(yōu)控制的目標(biāo)函數(shù)，統(tǒng)一多種傳統(tǒng)的目標(biāo)函數(shù)成為可能，在這一框架下研究隨機(jī)最優(yōu)控制問題則是傳統(tǒng)隨機(jī)最優(yōu)控制的不平凡推廣。
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