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- Stochastic Fubini Theorem 随机Fubini定理
- fubini theorem 富比尼定理
- Stochastic Models of Lambda Phage. 噬菌体的随机模型。
- Let us restate the assertions above as a theorem. 我们把上述的断言重新表述为一个定理。
- Vol stochastic field is the top figure. 领域顶尖人物。
- The second proof of Theorem 26 is due to James. 定理26的第二个证明属于詹姆斯。
- Theorem g is called binomial theorem. 定理g称为二项式定理。
- This completes the proof of the convexity theorem. 这就完成了凸定理的证明。
- This calculation illustrates the theorem. 这个计算说明了这样一个定理。
- We call this principle a rule and not a theorem. 我们称这个法则为原理而不称为定理。
- We have thus arrived at the very important theorem. 这样我们就得了一条很重要的法则。
- The theorem may be explained as follows. 这条原理可以这样来阐述。
- This method helps to obtain a remarkable theorem. 这一方法有助于得出一著名的定理。
- His theorem can be translated into simple terms. 他的定理可用更简单的术语来解释。
- Theorem 2 ABd method is absolutely stable. 定理4 PAEI方法在M‘/2范数意义下是绝对稳定的.
- Markov Process is an extensively applied stochastic process model. 马尔可夫过程是一个有着广泛应用的随机过程模型.
- The main results are theorem 5 anc theorem 9 . 主要结果是定理5和定理9,宅是文[4]的继续。
- Stochastic medium model belongs to in-continuous medium theory. 随机介质理论属于非连续介质理论范畴。
- This is the "Kos theorem" Wu edition. 这是 “科斯定理”的张五常版。
- Journal of Applied Mathematics and Stochastic Analysis. 应用数学和随机分析杂志。
