Iterative Methods for Ill-Posed Problems
eBook - PDF

Iterative Methods for Ill-Posed Problems

An Introduction

  1. 147 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Iterative Methods for Ill-Posed Problems

An Introduction

About this book

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.

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Yes, you can access Iterative Methods for Ill-Posed Problems by Anatoly B. Bakushinsky,Mihail Yu. Kokurin,Alexandra Smirnova in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2010
Print ISBN
9783110250640
eBook ISBN
9783110250657

Table of contents

  1. Preface
  2. Contents
  3. 1 The regularity condition. Newton's method
  4. 2 The Gauss-Newton method
  5. 3 The gradient method
  6. 4 Tikhonov's scheme
  7. 5 Tikhonov's scheme for linear equations
  8. 6 The gradient scheme for linear equations
  9. 7 Convergence rates for the approximation methods in the case of linear irregular equations
  10. 8 Equations with a convex discrepancy functional by Tikhonov's method
  11. 9 Iterative regularization principle
  12. 10 The iteratively regularized Gauss-Newton method
  13. 11 The stable gradient method for irregular nonlinear equations
  14. 12 Relative computational efficiency of iteratively regularized methods
  15. 13 Numerical investigation of two-dimensional inverse gravimetry problem
  16. 14 Iteratively regularized methods for inverse problem in optical tomography
  17. 15 Feigenbaum's universality equation
  18. 16 Conclusion
  19. References
  20. Index