This paper studies the solution of real symmetric positive definite Toeplitz matrices by the preconditioned conjugate gradient method.Based on the fact that the real symmetric Toeplitz matrix admits a triangular transform splitting(TTS),we propose the shifted Sine preconditioner TS,the spectral properties of the preconditioned matrix are analyzed,and the arithmetic complexity is discussed.The numerical experiments show that our preconditioner is more effective than T.Chan's preconditioner[2].
Analysis on Effects of Opening Residential Area on Road Capacity with Jackson Queueing Networks
In this paper,by applying the discrete event dynamic system modeling method a Jackson queueing network model is established to study the effects of opening residential area on road capacity with two examples. The road traffic states in surrounding area are deeply analyzed by using some performance measures of Jackson queueing networks.Based on our results,some suggestions about whether or not to open residential area according to the environment of surroundings,road traffic flow,road capacity,convenience to the transportation of citizens and the safety are provided.
The Decay Parameter of Stopped MX/M3/1 Queueing Model
Posteriori Error Estimates for the Variable BDF2 Method for Parabolic Equations
A Generalization of The Generalized Entropy Ergodic Theorem for Nonhomogeneous Markov Chains
In this paper we give a generalization to the generalized entropy ergodic theorem for nonhomogeneous Markov chains given by Wang and Yang in[4].
In this paper,two kinds of stability theorems are improved.By the property of the Kfunction,the property of the function’s derivative in original Markin stability theorem is extended from the finite time to the infinite time,and this brings the new method to get the stability of the solution of the nonautonomous differential equation.By the supplement of the integral convergence theorem ,the new theorem is further improved and promoted,and a new determination method about uniform stability is obtained.
A New Auxiliary Function-based Integral Inequality
Neural Network Weight-Threshold Optimization Method Based on LASSO
Based on the LASSO method and neural network,we establish a LASSO-BP algorithm.Compared with the BP neural network algorithm and the RBF algorithm,it has the advantages of time-consuming, strong anti-interference ability and better effects on classification.Its effectiveness is verified by numerical experiments.
Study of Correlations Between the Cash Flow of High-value Payment System in the People’s Bank of China and the CPI
The high-value payment system (HVPS)provides fast,efficient and secure payment services for enterprises and financial markets and prevents payment risks.This paper investigates the correlations between the cash flow changes of the People's Bank of China(PBS)in Hunan province and the economic index CPI in Hunan province by building a regression model.The results show that there is a highly positive correlation between the cash flow changes and the CPI.By using the regression model,we can predict the CPI and provide an effective method for the local government to make economic decisions.
A Bidding Model Under Non-cooperation Mode Based on Least Squares
An Ant Colony Optimization Algorithm for Multi-criteria Degree-constrained Minimum Spanning Tree
Both multi-criteria minimum spanning tree problem and degree-constrained minimum spanning tree problem are NP-hard problems in network optimization.They always have many important applications in practice.To solve the minimum spanning tree problem by considering both the multi-criteria and degreeconstraints, this paper proposes an algorithm (coded in Delphi)which is based on the ideas of ant colony optimization. The computational numerical experiments show the efficiency and effectiveness of the algorithm for the multi-criteria degree-constrained minimum spanning tree problem.
Solving Vehicle Routing Problems with the Greedy Randomized Adaptive Bat Algorithm
The Vehicle Routing Problem(VRP)is a worth researching NP-Hard problem in logistic and supply chain.The Bat Algorithm (BA)is a new intelligent optimization algorithm having broad application prospect. But it can’t use to solve discrete problem directly,and just like most intelligent optimization algorithms, it may easily fall into local optimum and its convergence rate is very slow in the late stage of the algorithm.In this paper,in view of the specific characteristics of the VRP,we redefine the coding mode and use GRASP to generate the initial population of BA to improve the algorithm,and then apply it to solve the VRP.
Function fitting is an important data mining technique.In this paper,the modified Gauss type mixed model is applied to the study of the changing pattern of the water level in order to make accurate prediction of the water level.Firstly,we make a pretreatment of the ten years data of the water level and establish a Gauss-like mixed model which satisfies the smallest loss function via curve fit.Then,we construct an overdetermined linear equations and use the least square method to obtain the corresponding weight.Finally,we get a weighted model and examine the rationality of the model and make some improvements.
Investigation and Analysis on the Life Quality of Orphans in the First Social Welfare Institute of Changsha
An Empirical Analysis on the Impact of China′s Import and Export Trade on Taxation