Iterative Methods for Ill-Posed Problems : : An Introduction / / Anatoly B. Bakushinsky, Alexandra Smirnova, Mihail Yu. Kokurin.

Ill-posed problems are encountered in countless areas of real world science and technology. A variety of processes in science and engineering is commonly modeled by algebraic, differential, integral and other equations. In a more difficult case, it can be systems of equations combined with the assoc...

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Superior document:Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2010]
©2011
Year of Publication:2010
Language:English
Series:Inverse and Ill-Posed Problems Series , 54
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Physical Description:1 online resource (136 p.)
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100 1 |a Bakushinsky, Anatoly B.,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Iterative Methods for Ill-Posed Problems :  |b An Introduction /  |c Anatoly B. Bakushinsky, Alexandra Smirnova, Mihail Yu. Kokurin. 
264 1 |a Berlin ;  |a Boston :   |b De Gruyter,   |c [2010] 
264 4 |c ©2011 
300 |a 1 online resource (136 p.) 
336 |a text  |b txt  |2 rdacontent 
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490 0 |a Inverse and Ill-Posed Problems Series ,  |x 1381-4524 ;  |v 54 
505 0 0 |t Frontmatter --   |t Preface --   |t Contents --   |t 1 The regularity condition. Newton’s method --   |t 2 The Gauss–Newton method --   |t 3 The gradient method --   |t 4 Tikhonov’s scheme --   |t 5 Tikhonov’s scheme for linear equations --   |t 6 The gradient scheme for linear equations --   |t 7 Convergence rates for the approximation methods in the case of linear irregular equations --   |t 8 Equations with a convex discrepancy functional by Tikhonov’s method --   |t 9 Iterative regularization principle --   |t 10 The iteratively regularized Gauss–Newton method --   |t 11 The stable gradient method for irregular nonlinear equations --   |t 12 Relative computational efficiency of iteratively regularized methods --   |t 13 Numerical investigation of two-dimensional inverse gravimetry problem --   |t 14 Iteratively regularized methods for inverse problem in optical tomography --   |t 15 Feigenbaum’s universality equation --   |t 16 Conclusion --   |t References --   |t Index 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a Ill-posed problems are encountered in countless areas of real world science and technology. A variety of processes in science and engineering is commonly modeled by algebraic, differential, integral and other equations. In a more difficult case, it can be systems of equations combined with the associated initial and boundary conditions. Frequently, the study of applied optimization problems is also reduced to solving the corresponding equations. These equations, encountered both in theoretical and applied areas, may naturally be classified as operator equations. The current textbook will focus on iterative methods for operator equations in Hilbert spaces. 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) 
650 0 |a Differential equations, Partial  |x Improperly posed problems. 
650 0 |a Iterative methods (Mathematics). 
650 4 |a Hilbert Space. 
650 4 |a Ill-posed Problem. 
650 4 |a Inverse Problem. 
650 4 |a Iterative Method. 
650 4 |a Operator Equation. 
650 7 |a MATHEMATICS / General.  |2 bisacsh 
653 |a Hilbert Space. 
653 |a Ill-posed Problem. 
653 |a Inverse Problem. 
653 |a Iterative Method. 
653 |a Operator Equation. 
700 1 |a Kokurin, Mihail Yu.,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Smirnova, Alexandra,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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776 0 |c print  |z 9783110250640 
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