Expanding the applicability of Tikhonov's regularization and iterative approximation for ill-posed problems

Author(s):  
Vladmir Vasin ◽  
Santhosh George
2009 ◽  
Vol 79 (6) ◽  
pp. 722-727 ◽  
Author(s):  
Abdelnasser Dahmani ◽  
Ahmed Ait Saidi ◽  
Fatah Bouhmila ◽  
Mouloud Aissani

2016 ◽  
Vol 833 ◽  
pp. 170-175 ◽  
Author(s):  
Andrew Sia Chew Chie ◽  
Kismet Anak Hong Ping ◽  
Yong Guang ◽  
Ng Shi Wei ◽  
Nordiana Rajaee

The inverse scattering in time domain known as Forward-Backward Time-Stepping (FBTS) technique is applied to determine the sizes, shape and location of the embedded objects. Tikhonov’s regularization method has been proposed in order to improve or solve the ill-posed of FBTS inverse scattering problem. The reconstructed results showed that FBTS technique can detect the presence of embedded objects. The reconstructed results of FBTS technique utilizing with the Tikhonov’s regularization method shown better results than the results only applied FBTS technique. Tikhonov’s regularization combined with FBTS technique to improve the quality of image reconstruction.


2018 ◽  
Vol 26 (2) ◽  
pp. 277-286 ◽  
Author(s):  
Jens Flemming

AbstractVariational source conditions proved to be useful for deriving convergence rates for Tikhonov’s regularization method and also for other methods. Up to now, such conditions have been verified only for few examples or for situations which can be also handled by classical range-type source conditions. Here we show that for almost every ill-posed inverse problem variational source conditions are satisfied. Whether linear or nonlinear, whether Hilbert or Banach spaces, whether one or multiple solutions, variational source conditions are a universal tool for proving convergence rates.


Author(s):  
А.В. Гончарский ◽  
С.Ю. Романов ◽  
С.Ю. Серёжников

Статья посвящена разработке методов формирования акустических зондирующих импульсов в задачах ультразвуковой томографии. Обратная задача формирования акустических зондирующих импульсов рассматривается в рамках линейной модели. Эта задача является некорректной и требует использования регуляризирующих алгоритмов. Для численного решения использована тихоновская схема регуляризации. Разработанные алгоритмы протестированы на решении модельных задач и с помощью специально поставленного эксперимента, в котором акустический тракт включает в себя цифровой генератор импульсов, усилитель, источник акустического излучения, акустический детектор, предусилитель и аналого-цифровой преобразователь. Экспериментально подтверждены как адекватность линейной модели, так и высокая эффективность предложенных алгоритмов. This paper is concerned with developing the methods of forming acoustic sounding pulses in ultrasound tomography applications. The inverse problem of forming acoustic sounding pulses is considered in the framework of linear models. This problem is ill-posed and requires the use of regularizing algorithms. Tikhonov's regularization scheme is used to solve the problem numerically. The developed algorithms are tested on model problems as well as on experimental data. In the experimental setup, the acoustic path includes a digital waveform generator, an amplifier, an ultrasound emitter, a hydrophone with a preamplifier, and an analog-digital converter. The applicability of the linear model and the efficiency of the proposed algorithms are substantiated experimentally.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Tao Min ◽  
Weimin Fu ◽  
Qiang Huang

We investigate the inverse problem in the nonhomogeneous heat equation involving the recovery of the initial temperature from measurements of the final temperature. This problem is known as the backward heat problem and is severely ill-posed. We show that this problem can be converted into the first Fredholm integral equation, and an algorithm of inversion is given using Tikhonov's regularization method. The genetic algorithm for obtaining the regularization parameter is presented. We also present numerical computations that verify the accuracy of our approximation.


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