Monte-Carlo Approach to Choose the Tikhonov Regularization Parameter for Solving Integral Equations
Publish place: 2rd International Conference on Soft Computing
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSCG02_166
تاریخ نمایه سازی: 7 اسفند 1396
Abstract:
In this paper, we consider the numerical solution of Fredholm integral equations of the first kind. For solving this equations,following Tikhonov, we find regularization Parameter. This parameter acts as a smoothing filter of data used in a ill-posed problem. In general the numerical methods for finding this parameter lead to a linear or non linear problem with a free parameter. Here, we use Monte-Carlo approach in a interval to finding this parameter. For showing efficiency of method, we test our algorithm by comparing numerical results with the exact solution in ill-posed problems
Keywords:
First kind integral equation , Ill-posed Problem , Monte-Carlo method , Regularization parameter , Inverse problems
Authors
Kazem Nouri
Department of Mathematics, Faculty of Mathematics, Statistics and Computer Sciences,Semnan University, P. O. Box ۳۵۱۹۵-۳۶۳, Semnan, Iran
Leila Torkzadeh
Department of Mathematics, Faculty of Mathematics, Statistics and Computer Sciences,Semnan University, P. O. Box ۳۵۱۹۵-۳۶۳, Semnan, Iran