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In this article, a proper orthogonal decomposition(POD) method is used to study a classical splitting positive definite mixed finite element(SPDMFE) formulation for secondorder hyperbolic equations. A POD reduced-order SPDMFE extrapolating algorithm with lower dimensions and sufficiently high accuracy is established for second-order hyperbolic equations. The error estimates between the classical SPDMFE solutions and the reducedorder SPDMFE solutions obtained from the POD reduced-order SPDMFE extrapolating algorithm are provided. The implementation for solving the POD reduced-order SPDMFE extrapolating algorithm is given. Some numerical experiments are presented illustrating that the results of numerical computation are consistent with theoretical conclusions, thus validating that the POD reduced-order SPDMFE extrapolating algorithm is feasible and efficient for solving second-order hyperbolic equations.
In this article, a proper orthogonal decomposition (POD) method is used to study a classical splitting positive definite mixed finite element (SPDMFE) formulation for second-order hyperbolic equations. A POD reduced-order SPDMFE extrapolating algorithm with lower dimensions and sufficiently high accuracy is established for second-order hyperbolic equations. The error estimates between the classical SPDMFE solutions and the reduced-order SPDMFE solutions obtained from the POD reduced-order SPDMFE extrapolating algorithm are provided. The implementation for solving the POD reduced-order SPDMFE extrapolating algorithm is given. Some numerical experiments are presented illustrating that the results of numerical computation are consistent with theoretical conclusions, thus validating that the POD reduced-order SPDMFE extrapolating algorithm is feasible and efficient for solving second-order hyperbolic equations.
Nowadays,the modeling of systems may be quite large,even up to tens of thousands orders.In spite of the increasing computational powers,direct simulation of these large-scale systems may be impractical.Thus,to industry requirements,analytically tractable and computationally cheap models must be designed.This is the essence task of Model Order Reduction(MOR).This article describes the basics of MOR optimization,various way of designing MOR,and gives the conclusion about existing methods.In addition,it proposed some heuristic footpath.
Nowadays, the modeling of systems may be quite large, even up to tens of thousands orders. In spite of the increasing computational powers, direct simulation of these large-scale systems may be impractical. Thus, to industry requirements, analytically tractable and computationally cheap models must be designed. This is the essence task of Model Order Reduction (MOR). This article describes the basics of MOR optimization, various way of designing MOR, and gives the conclusion about existing methods. In addition, it proposed some heuristic footpath.

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In this paper,the existence and multiplicity of positive solutions for Robin type boundary value problem of differential equation involving the Riemann-Liouville fractional order derivative are established.
In this paper,the existence and multiplicity of positive solutions for Robin type boundary value problem of differential equation involving the Riemann-Liouville fractional order derivative are established.

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This paper aims to analyze the gender differences of language use at the level of pronunciation,lexicon and syntax in order to proclaim gender equality in the aspect of language use.
This paper aims to analyze the gender differences of language use at the level of pronunciation, lexicon and syntax in order to proclaim gender equality in the aspect of language use.

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This study examines the influences of at ributes in housing selection upon the housing value, housing satisfaction, and repurchase intention. In order to achieve the aims of the study, a survey on 237 people living in Beijing and Shanghai areas was carried out and the questionnaire was proces ed using SPSS 12.0 for reliability and validity check. LISREL(8. 5) analysis by means of the covariance matrix was also done in order to verify the structure model suggested in this study.The study results are as fol ows. the Chinese consumers consider the six factors, which suggest important in order of the environmental factors;the location;the local customs;the reputation of the people’s behavior;the real estate policy;the economy status. Based on the study results, the researcher gives suggestions and limitations of the study as wel as the direction of further study in the future.
This study examines the influences of at ributes in housing selection upon the housing value, housing satisfaction, and repurchase intention. In order to achieve the aims of the study, a survey on 237 people living in Beijing and Shanghai areas was carried out and the questionnaire was proces ed using SPSS 12.0 for reliability and validity check. LISREL(8. 5) analysis by means of the covariance matrix was also done in order to verify the structure model suggested in this study.The study results are as fol ows. the Chinese consumers consider the six factors, which suggest important in order of the environmental factors;the location;the local customs;the reputation of the people’s behavior;the real estate policy;the economy status. Based on the study results, the researcher gives suggestions and limitations of the study as wel as the direction of further study in the future.

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间歇过程的产品与现代人的生活息息相关,而建立可靠的模型是保障间歇过程安全运行的基础。针对间歇过程的数据特点,引入一种新的广义线性回归模型——高阶偏最小二乘(higher order partial least squares,HOPLS)。它与传统的间歇过程建模方法具有本质的不同,三维数据(批次×变量×时间)不需要展开成二维矩阵,而是直接被分解成一组正交的Tucker矩阵之和。通过高阶奇异值分解(high order singular value decomposition,HOSVD),张量变换和高阶正交迭代(higher order orthogonal iteration,HOOI)找到能同时包含自变量和因变量最大信息的潜向量,与此同时得到对应的负载向量。对于新观测值,通过模型就可以实现对因变量的预测。最后利用PenSim2.0,对青霉素发酵过程进行仿真研究,验证了该间歇过程建模方法的有效性。
The products of batch processes are closely related to the daily life of modern people, and it is crucial for batch process monitoring to establish a model based on the normal process data sets. In this paper, according to the characteristics of batch process, a new generalized multilinear regression model, termed the higher order partial least squares (HOPLS), is introduced with the aim to better model the three-way batch data. It differs substantially from the traditional modeling approach, and instead of unfolding the three-way array to a two-way array, it explains the data by a sum of orthogonal Tucker tensors. Higher order orthogonal iteration (HOSVD), tensor transformation and higher order orthogonal iteration (HOOI) are used to find the latent vectors, which contain the maximum information of independent variables and dependent variables simultaneously. And the loading vectors are calculated at the same time. For the new observation values, the dependent variables will be predic

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Let pj ∈ N and pj≥ 1, j = 2, ···, k, k ≥ 2 be a fixed positive integer. We introduce a Roper-Suffridge extension operator on the following Reinhardt domain ΩN ={z =(z1, z′2, ···, z′k)′∈ C × Cn2×···× Cnk: |z1|2+ ||z2||p22+ ··· + ||zk ||pk k 1} given11 by F P′j(zj),(f(z1))p2 z′2, ···,(f′(z1))pk z′k)′, where f is a normaljized biholomorphic function k(z) =(f(z1) + f′(z1)=2 on the unit disc D, and for 2 ≤ j ≤ k, Pj : Cnj-→ C is a homogeneous polynomial of degree pj and zj =(zj1, ···, zjnj)′∈ Cnj, nj ≥ 1, pj ≥ 1,nj1||zj ||j =()pj. In this paper, some conditions for Pjare found under which the loperator p |zjl|pj=1reserves the properties of almost starlikeness of order α, starlikeness of order αand strongly starlikeness of order α on ΩN, respectively.
Let pj ∈ N and pj ≥ 1, j = 2, · · · , k, k ≥ 2 be a fixed positive integer. We introduce a Roper-Suffridge extension operator on the following Reinhardt domain ?N ={z = (z1, z′2, · · · , z′k)′ ∈ C × Cn2 × · · · × Cnk : |z1|2 +||z2||p22 +· · ·+||zk||pkk < 1} given by F(z) = (f(z1)+f′(z1) kP j=2 Pj(zj),(f′(z1))p12z′2,··· ,(f′(z1))p1kz′k)′, where f is a normal-ized biholomorphic function on the unit disc D, and for 2 ≤ j ≤ k, Pj : Cnj ?→ C is a homogeneous polynomial of degree pj and zj = (zj1, · · · , zjnj )′ ∈ Cnj , nj ≥ 1, pj ≥ 1,||zj||j = ( njP l=1|zjl|pj ) p1j . In this paper, some conditions for Pj are found under which the operator preserves the properties of almost starlikeness of order α, starlikeness of order αand strongly starlikeness of order αon?N , respectively.
In this paper, a unified model for time-dependent Maxwell equations in dispersive media is considered. The space-time DG method developed in [29] is applied to solve the underlying problem. Unconditional L2-stability and error estimate of order O τr+1+ hk+1/2 are obtained when polynomials of degree at most r and k are used for the temporal discretization and spatial discretization respectively. 2-D and 3-D numerical examples are given to validate the theoretical results. Moreover, numerical results show an ultra-convergence of order 2r + 1 in temporal variable t.
In this paper, a unified model for time-dependent Maxwell equations in dispersive media is considered. The space-time DG method developed in [29] is applied to solve the un-derlying problem. Unconditional L2-stability and error estimate of order O?τr+1+hk+1/2? are obtained when polynomials of degree at most r and k are used for the temporal dis-cretization and spatial discretization respectively. 2-D and 3-D numerical examples are given to validate the theoretical results. Moreover, numerical results show an ultra-convergence of order 2r+1 in temporal variable t.

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According to the result of the observation, the author finds out many problems about the reading teaching and studying at the normal college. In order to improve students' English reading proficiency, she makes some suggestions about reading strategies.
According to the result of the observation, the author finds out many problems about the reading teaching and studying at the normal college. In order to improve students'' English reading proficiency, she makes some suggestions about reading strategies.

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针对多径信道,提出了一种基于序列相关的信噪比估计算法,利用本地序列与接收信号相关,并采用最小二乘估计法,精确地估计了接收信号幅度和噪声方差,得到了两径信道下信噪比的估计值。仿真结果表明该算法整体估计性能较好,特别适合于低信噪比条件下。在信噪比为-1dB时,与现有的频域和二阶矩四阶矩(M2M4,2-order and 4-order Moments)估计算法相比,该算法的归一化均方误差分别降低了0.09和0.2。
For the multipath channel, a SNR estimation algorithm based on sequence correlation is proposed. By utilizing the correlation of local sequence and received signal, the signal amplitudes and the noise variance are precisely estimated with Least squares estimation algorithm, and the estimated value of SNR in two-path channel is obtained. Simulation results show that this algorithm, as a whole, performs better than frequency domain and 2-order and 4-order moments (M2M4) estimation algorithms particularly suitable for the condition of low SNR. As the actual SNR is -1dB, the normalized mean square error of the proposed algorithm is reduced by 0.09 and 0.2 respectively.

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