
Vinkkaa tuotetta kavereillesi:
The Discrepancy Principle for Tikhonov Regularization in Banach Spaces: Regularization Properties and Rates of Convergence
Stephan W. Anzengruber
Tilattu etävarastosta
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.
Media | Kirjat Paperback Book (Kirja pehmeillä kansilla ja liimatulla selällä) |
Julkaisupäivämäärä | tiistai 3. huhtikuuta 2012 |
ISBN13 | 9783838131351 |
Tuottaja | Südwestdeutscher Verlag für Hochschulsch |
Sivujen määrä | 136 |
Mitta | 150 × 8 × 226 mm · 221 g |
Kieli | German |
Katso kaikki joka sisältää Stephan W. Anzengruber ( Esim. Paperback Book )