the financial support from the National Natural Science Foundation of China(Grant no.42077263).
Microseismic event location is one of the core parameters in microseismic monitoring,and the accuracy of localization will directly affect the effectiveness of engineering applications.However,limited by spatial facto...
The authors would like to thank two anonymous referees for their valuable comments and suggestions.The author Yu-hong Dai is supported by the Chinese Natural Science Foundation(Nos.11631013,71331001 and 11331012);the National 973 Program of China(No.2015CB856002);The author Fengmin Xu is supported by the Chinese NSF grants(Nos.11571271,11631013 and 11605139).
In this paper we propose an efficient and robust method for computing the analytic center of the polyhedral set P={x€R^n|Ax=b,x>0},where the matrix A€ Rm×n is ill-conditioned,and there are errors in A and b.Besides o...
supported by Technology Project of State Grid Corporation of China(No.SGRIJSKJ(2016)800).
A solution to the power flow problem is imperative for many power system applications and several iterative approaches are employed to achieve this objective.However,the chance of finding a solution is dependent on th...
In this paper,some remarks for more efficient analysis of two-dimensional elastostatic problems using the method of fundamental solutions are made.First,the effects of the distance between pseudo and main boundaries o...
supported by Open Fund of Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan Province(Changsha University of Science&Technology,kfj150602);Hunan Province Science and Technology Program Funded Projects,China(2015NK3035);the Land and Resources Department Scientific Research Project of Hunan Province,China(2013-27);the Education Department Scientific Research Project of Hunan Province,China(13C1011)
Linear Least Squares(LLS) problems are particularly difficult to solve because they are frequently ill-conditioned, and involve large quantities of data. Ill-conditioned LLS problems are commonly seen in mathematics...
This work is supported in part by the National Science Foundation under Award No.CCF-1217590 and NFS grant#CNS-0619337 and by FDCT 077/2012/A3.Any opinions,findings conclusions or recommendations expressed here are the authors and do not necessarily reflect those of the sponsors.
This paper presents a parallel algorithm for finding the smallest eigenvalue of a family of Hankel matrices that are ill-conditioned.Such matrices arise in random matrix theory and require the use of extremely high pr...
This research was partly supported by National Science Foundation(Nos.1115568 and 1016204);by Office of Naval Research Grants(Nos.N00014-11-1-0068 and N00014-15-1-2048).
Analternating direction approximateNewton(ADAN)method is developed for solving inverse problems of the form min{φ(Bu)+(1/2)||Au−f||^(2)_(2)},whereφis convex and possibly nonsmooth,and A and B arematrices.Problems of...
In this paper, swarm optimization hybridized with differential evolution (PSO-DE) technique is proposed to solve static state estimation (SE) problem as a minimization problem. The proposed hybrid method is tested on ...
A class of nonlinear problems with real parameters is defined. Generally, in this class of problems, when the parametric values are very large, the problems become ill-posed and numerical difficulties are encountered ...
Sensor bias estimation is an inherent problem in multi-sensor data fusion systems. Classical methods such as the Generalized Least Squares (GLS) method can have numerical problems with ill-conditioned sets which are...