canonical distribution मीनिंग इन हिंदी

उदाहरण वाक्य

1. The probability that the many-particle system is in the state R, is given by the normalized canonical distribution,
2. We denote the diagonal components of the density matrices for the canonical distributions for H and \ tilde { H } in this basis as:
3. On systems with relevant energy gaps, this is the major drawback of the use of the canonical distribution because the time needed to the system de-correlate from the previous state can tend to infinity.
4. The central idea is to simulate in such a way that we obtain a canonical distribution : this means fixing the average temperature of the system under simulation, but at the same time allowing for a fluctuation of the temperature with a distribution typical for a canonical distribution.
5. The central idea is to simulate in such a way that we obtain a canonical distribution : this means fixing the average temperature of the system under simulation, but at the same time allowing for a fluctuation of the temperature with a distribution typical for a canonical distribution.
6. So, the procedure to obtain a mean value of a given variable, using metropolis algorithm, with the canonical distribution, is to use the Metropolis algorithm to generate states given by the distribution p ( \ vec { r } ) and perform means over A ^ { * } _ { \ vec { r } }.
7. One important issue must be considered when using the metropolis algorithm with the canonical distribution : when performing a given measure, i . e . realization of \ vec { r } _ i, one must ensure that that realization is not correlated with the previous state of the system ( otherwise the states are not being " randomly " generated ).