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The Discrepancy Principle for Tikhonov Regularization in Banach Spaces: Regularization Properties and Rates of Convergence
Stephan W. Anzengruber
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The Discrepancy Principle for Tikhonov Regularization in Banach Spaces: Regularization Properties and Rates of Convergence
Stephan W. Anzengruber
This book is about inverse problems. A classical example of such an inverse problem is computerized tomography (CT), where one attempts to recover an image of, say, the human brain from measured x-ray intensities. Such measurements will in general be noisy, but even very little noise can have a severe impact on the quality of the reconstructed images. To overcome these difficulties regularization methods have been developed, which stabilize the reconstruction process. We study here one such method, known as Tikhonov-regularization, and prove general regularizing properties as well as rates on the speed of the convergence.
Medie | Bøger Paperback Bog (Bog med blødt omslag og limet ryg) |
Udgivet | 3. april 2012 |
ISBN13 | 9783838131351 |
Forlag | Südwestdeutscher Verlag für Hochschulsch |
Antal sider | 136 |
Mål | 150 × 8 × 226 mm · 221 g |
Sprog | Tysk |
Se alt med Stephan W. Anzengruber ( f.eks. Paperback Bog )