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1)  Closed convex process
闭凸过程
2)  bounded closed convex set-valued stochastic processes
有界闭凸集值随机过程
1.
In order to study the derivative and integral theories of the set-valued stochastic processes,the mean square derivative of the bounded closed convex set-valued stochastic processes is presented firstly by means of the weak convergence and open notion of sets.
为了研究集值随机过程的微积分理论 ,利用有界闭凸集合弱收敛的性质和集合“开”的概念 ,给出了有界闭凸集值随机过程的均方导数的定义 ,建立了均方导数的若干性质 ,并讨论了集值随机过程均方可导与均方连续的关系。
2.
In order to study the integral and differential theories of the set-valued stochastic processes,the Riemann integral of the bounded closed convex set-valued stochastic processes is firstly given.
为研究集值随机过程的微积分理论 ,首先利用支撑函数定义了二阶矩有界闭凸集值随机过程的均方 Riemann积分 ,其次利用支撑函数以及均方收敛的性质证明了二阶矩有界闭凸集值随机过程的均方 Rie-mann积分的线性性、同数学期望的可交换性等性
3)  concave-convex procedure(CCCP)
凹凸过程
4)  convex processes
凸过程
1.
Open mapping and closed graph theorems on convex processes;
关于凸过程的开映照与闭图定理
5)  process of starting and braking
起闭过程
6)  opening-closing process
启闭过程
1.
Numerical simulation and analysis of the 3-D flow and opening-closing processes in control valve;
调节阀内三维流动与启闭过程的数值模拟及分析
补充资料:凸凸
1.高出貌。
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