作者:
Shen, RuigangYang, YingWang, QinLu, Benzhuo
Guangxi Colleges Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Guangxi Guilin541004 China LSEC
Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Mathematical Sciences
University of Chinese Academy of Sciences Beijing100049 China
In this work, a new mixed finite element method with exponential coefficients is produced for solving the Poisson-Nernst-Planck (PNP) equations. Based on the exponential properties of the PNP equation, the current (fl...
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data aggregation is considered a viable security and privacy solution for smart grid as it allows to obtain the total electricity consumption within a region without disclosing individual data. However, existing data ...
In this paper, we show that if a set in bivariate metric semigroups-valued bounded variation spaces is pointwise totally bounded and joint equivariated then it is precompact. These spaces include bounded Jordan variat...
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In this article,we derive the a posteriori error estimators for a class of steadystate Poisson-Nernst-Planck *** the gradient recovery operator,the upper and lower bounds of the a posteriori error estimators are estab...
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In this article,we derive the a posteriori error estimators for a class of steadystate Poisson-Nernst-Planck *** the gradient recovery operator,the upper and lower bounds of the a posteriori error estimators are established both for the electrostatic potential and *** is shown by theory and numerical experiments that the error estimators are reliable and the associated adaptive computation is efficient for the steady-state PNP systems.
The ternary interval number contains more comprehensive information than the exact number,and the prediction of the ternary interval number is more conducive to intelligent *** order to reduce the overfitting problem ...
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The ternary interval number contains more comprehensive information than the exact number,and the prediction of the ternary interval number is more conducive to intelligent *** order to reduce the overfitting problem of the neural network model,a combination prediction method of the BP neural network and the matrix GM(1,1) model for the ternary interval number sequence is proposed in the paper,and based on the proposed method to predict the passenger *** matrix grey model for the ternary interval number sequence(MTIGM(1,1)) can stably predict the overall development trend of a time *** the integrity of interval numbers,the BP neural network model is established by combining the lower,middle and upper boundary points of the ternary interval *** combined weights of MTIGM(1,1) and the BP neural network are determined based on the grey relational *** combined method is used to predict the total passenger volume and railway passenger volume of China,and the prediction effect is better than MTIGM(1,1) and BP neural network.
Multi-response partial least squares regression (PLS2) is commonly used in analyzing high-dimensional multi-response data, particularly in estimating prediction regions. Calculating the prediction region using local l...
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this paper,we propose a class of smoothing-regularization methods for solving the mathematical programming with vanishing *** methods include the smoothing-regularization method proposed by Kanzow et ***[***.,2013,55(...
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this paper,we propose a class of smoothing-regularization methods for solving the mathematical programming with vanishing *** methods include the smoothing-regularization method proposed by Kanzow et ***[***.,2013,55(3):733-767]as a special *** the weaker conditions than the ones that have been used by Kanzow et *** 2013,we prove that the Mangasarian-Fromovitz constraint qualification holds at the feasible points of smoothing-regularization *** also analyze that the convergence behavior of the proposed smoothing-regularization method under mild conditions,i.e.,any accumulation point of the stationary point sequence for the smoothing-regularization problem is a strong stationary ***,numerical experiments are given to show the efficiency of the proposed methods.
We discuss and analyze the virtual element method on general polygonal meshes for the time-dependent Poisson-Nernst-Planck equations, which are a nonlinear coupled system widely used in semiconductors and ion channels...
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The discrete memristor has aroused increasing interest due to its application prospects. The theory of discrete memory resistors is gradually being refined. In this paper, through theoretical derivation, the new gener...
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We propose a non-transversal but pieceable fault-tolerant conversion circuit that is used to convert encoded information between five-qubit code and seven-qubit CSS code. Since a syndrome extraction circuit requiring ...
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