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31.
32.
Vivekananda Roy 《Statistics & probability letters》2012,82(1):103-108
The sandwich algorithm (SA) is an alternative to the data augmentation (DA) algorithm that uses an extra simulation step at each iteration. In this paper, we show that the sandwich algorithm always converges at least as fast as the DA algorithm, in the Markov operator norm sense. We also establish conditions under which the spectrum of SA dominates that of DA. An example illustrates the results. 相似文献
33.
漂浮基空间机械臂关节轨迹跟踪的增广鲁棒控制方法 总被引:5,自引:1,他引:4
讨论了载体位置与姿态均不受控制的漂浮基空间机械臂系统的控制问题。基于增广变量法,解决了空间机械臂系统的控制方程关于系统惯性参数的非线性化问题;保持了控制方程关于系统惯性参数的线性关系。在此基础上,针对系统载荷参数不确定的情况下,提出了关节空间轨迹追踪 的增广鲁棒控制方法,并应用Lyapunov直接方法证明了 提到的控制方案能使系统满足渐近稳定性条件。通过仿真运算,证实了方法的有效性。 相似文献
34.
35.
This paper considers the problem of augmenting a given graph by a cheapest possible set of additional edges in order to make the graph vertex-biconnected. A real-world instance of this problem is the enhancement of an already established computer network to become robust against single node failures. The presented memetic algorithm includes effective preprocessing of problem data and a fast local improvement strategy which is applied before a solution is included into the population. In this way, the memetic algorithm's population consists always of only feasible, locally optimal solution candidates. Empirical results on two sets of test instances indicate the superiority of the new approach over two previous heuristics and an earlier genetic algorithm. 相似文献
36.
Tomislav P. Živković 《Journal of mathematical chemistry》2001,30(4):349-373
Generalised n×n eigenvalue equation B|
i
=
i
S
b
|
i
(i=1,...,n) where B and S
b
are n×n Hermitian matrices while S
b
is in addition positive definite is considered. This equation is augmented to a generalised (n+1)(n+1) eigenvalue equation H|
k
=
k
S|
k
(k=1,...,n+1) where Hermitian matrices H and S represent matrices B and S
b
, respectively, augmented by one additional row and one additional column. It is shown how the eigenvalues
k
and the eigenvectors |
k
of the augmented eigenvalue equation can be expressed in terms of the eigenvalues
i
and the eigenvectors |
i
of the original eigenvalue equation. Operation count to obtain by this method all augmented eigenvalues and eigenvectors is of the order O(n
2). Unless matrices involved are of some special kind such as sparse matrices or alike, this operation count is one order of magnitude smaller than operation count required by other presently known methods. In many practical cases operation count to obtain a single selected eigenvalue and/or eigenvector by this method is of the order O(n). In the case of the generalised eigenvalue equation, all other methods usually require again O(n
3) operations, even if only a single eigenvalue and/or eigenvector is required. Thus in many cases of interest operation count to obtain a selected eigenvalue and/or eigenvector by this method is two orders of magnitude smaller than operation count required by other methods. 相似文献
37.
38.
An experimental study of developing and fully developed turbulent air flow in a square duct with two opposite rib-roughened walls in which the ribs are attached in a staggered fashion was conducted to determine the heat transfer characteristics. The rib height-to-hydraulic diameter ratio (e/DH) was 0.19, the rib pitch-to-height ratio (p/e) was 5.31. The streamwise temperature distribution was measured, and a law of the wall for the thermal boundary layer at each free-stream turbulence level was obtained. The effects of free-stream turbulence intensity with variations of 4–11% on heat transfer coefficients were also examined. Finally, the relationship between Nusselt number and Reynolds number was correlated. The results might be used in the design of turbine blade cooling channels. 相似文献
39.
Jian Chen Zhongying Chen Sirui Cheng Jiemin Zhan 《Numerical Methods for Partial Differential Equations》2015,31(5):1665-1691
In this article, multilevel augmentation method (MAM) for solving the Burgers' equation is developed. The Crank–Nicolson–Galerkin scheme of the Burgers' equation results in nonlinear algebraic systems at each time step, the computational cost for solving these nonlinear systems is huge. The MAM allows us to solve the nonlinear system at a fixed initial lower level and then compensate the error by solving a linear system at the higher level. We prove that the method has the same optimal convergence order as the projection method, while reducing the computational complexity greatly. Finally, numerical experiments are presented to confirm the theoretical analysis and illustrate the efficiency of the proposed method. © 2015 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 31: 1665–1691, 2015 相似文献
40.
The CFD simulation of heat transfer characteristics of a nanofluid in a circular tube fitted with helical twist inserts under constant heat flux has been explained using Fluent version 6.3.26 in laminar flow. Al2O3 nanoparticles in water of 0.5%, 1.0% and 1.5% concentrations and helical twist inserts of twist ratios 2.93, 3.91 and 4.89 has been used for the simulation. All thermophysical properties of nanofluids are temperature dependent. The heat transfer enhancement increases with Reynolds number and decreases with twist ratio with maximum for the twist ratio 2.93. By comparing the heat transfer rates of water and nanofluids, the increase in Nusselt number is 5%–31% for different helical inserts and different volume concentrations. The maximum heat transfer enhancement is 31.29% for helical insert of twist ratio 2.93 and for the volume concentration of 1.5% corresponding to the Reynolds number of 2039. The data obtained by simulation match with the literature value of water with the discrepancy of less than ±10% for plain tube and tube fitted with helical tape inserts for Nusselt number. 相似文献