Sentence examples for system numerical results from inspiring English sources

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For human body under radiant air conditioning system, numerical results showed that the sensible heat loss from human body is approximately linear to the PMV under all simulated conditions.

In contrast to the conventional solid double-walled shell system, numerical results show that perforating the inner shell in the transmission side improves sound insulation performance over a wide frequency band, and removes fluctuation of sound transmission loss with frequency at mid-frequencies in the absence of external flow.

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For the problem of a two-qubit open quantum system, numerical simulation results indicate the effectiveness of the method.

For the four-body system the numerical results have been presented for different cases, "without" and "with" retardation effects and virtual annihilation interactions.

The proposed ITS algorithm is applied to the sample system and numerical results well demonstrate the validity and effectiveness of the proposed ITS algorithm.

Here we only focus on three-player best-response game; discussion of a better-response, two-player game for the benchmark IEEE 9-bus system, with numerical results, is given in [22].

For the deterministic system, the numerical results show that for certain (small or large) values of the degradation rate d = d1 = d2 [also see Fig. 1(a)], the repressors have one unique steady state, whereas for some modest values of d, they have three steady states: one is unstable and the other two stable [also see Fig. 1(a)].

Different implementation techniques are discussed, theories analogous to scalar cases are proven for linear systems, and numerical results are given illustrating the method on nonlinear systems.

The performance on a symmetric multiprocessor system, using Java multithreading, is investigated by solving characteristic arrow-type linear systems and numerical results are given, considering the parallel performance of the construction of the optimized approximate inverse and the explicit preconditioned generalized conjugate gradient square scheme.

Next we discuss how both of these issues can be addressed in practice, the first by defining a form of mutual information that is naturally continuous and therefore does not require an ad hoc discretisation step and the other addresses the case where, in a naturally discrete system numerical artefacts resulting in divergences can be avoided.

In other words, for the small efficient dimension, which is the sum of fractional derivatives of the equations in the systems such as system (2.1), the numerical results are not accurate enough.

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