<p><P>This volume presents a unified approach to constructing iterative methods for solving irregular operator equations and provides rigorous theoretical analysis for several classes of these methods. The analysis of methods includes convergence theorems as well as necessary and sufficient conditio
Iterative Methods for Approximate Solution of Inverse Problems
โ Scribed by A. B. Bakushinsky, M. Yu. Kokurin (auth.)
- Publisher
- Springer Netherlands
- Year
- 2004
- Tongue
- English
- Leaves
- 298
- Series
- Mathematics and Its Applications 577
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Numerical Analysis; Algorithms; Integral Equations; Partial Differential Equations; Mathematical Modeling and Industrial Mathematics
๐ SIMILAR VOLUMES
<p><P>This volume presents a unified approach to constructing iterative methods for solving irregular operator equations and provides rigorous theoretical analysis for several classes of these methods. The analysis of methods includes convergence theorems as well as necessary and sufficient conditio
<p><P>This volume presents a unified approach to constructing iterative methods for solving irregular operator equations and provides rigorous theoretical analysis for several classes of these methods. The analysis of methods includes convergence theorems as well as necessary and sufficient conditio
<P>This volume presents a unified approach to constructing iterative methods for solving irregular operator equations and provides rigorous theoretical analysis for several classes of these methods. The analysis of methods includes convergence theorems as well as necessary and sufficient conditions
<p>Inverse problems are concerned with determining causes for observed or desired effects. Problems of this type appear in many application fields both in science and in engineering. The mathematical modelling of inverse problems usually leads to ill-posed problems, i.e., problems where solutions ne
<span>Inverse problems are concerned with determining causes for observed or desired effects. Problems of this type appear in many application fields both in science and in engineering. The mathematical modelling of inverse problems usually leads to ill-posed problems, i.e., problems where solutions