Numerical Sensitivity Analysis In Numerical Computation

The sensitivity of the data is an issue of concern to many fields,since entering the era of big data,the sensitivity analysis of numerical calculation is the focus of research,how to effectively use the data,extract useful information,create more value,have important applications in astronomy and architecture the economic and other fields.In the "numerical analysis" in our study of linear equations and the right end of the coefficient matrix for the overall error of solution,in order to more effectively use the massive data,this paper mainly discusses the single data error on the effects of using linear equations,to select has a great influence on the accuracy of the solution data and effective control of its accuracy and low impact data,can relax the requirement of high accuracy,so as to improve the work efficiency.In this paper,the research of the complete least squares method is introduced,and the research process and results of the sensitivity analysis are introduced.The structure of this thesis is as follows The first chapter introduces the main results of sensitivity analysis of the research background and the second chapter mainly introduces the research results and sensitivity analysis of linear equations of single data error,third chapter is sensitive to the least squares method in-depth analysis and discussion,the fourth chapter summarizes the content of the work,this period of time and the results obtained and discussed the direction of future work.