✦ LIBER ✦

On quasioptimum selection of the regularization parameter in M. M. Lavrent'ev's method

✍ Scribed by A. S. Leonov

Book ID: 105022619
Publisher: SP MAIK Nauka/Interperiodica
Year: 1993
Tongue: English
Weight: 722 KB
Volume: 34
Category: Article
ISSN: 0037-4466
DOI: 10.1007/bf00975172

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

On the Adaptive Selection of the Paramet

On the Adaptive Selection of the Parameter in Regularization of Ill-Posed Problems

✍ Pereverzev, Sergei; Schock, Eberhard 📂 Article 📅 2005 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 199 KB

A novel method of cell separation based

A novel method of cell separation based on dual parameter immunomagnetic cell selection

✍ Katharine M Partington; Eric J Jenkinson; Graham Anderson 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 426 KB

On the determination of order parameters

On the determination of order parameters in alloys by thel method of Mössbauer spectroscopy

✍ Losievskaya, S. A. 📂 Article 📅 1973 🏛 John Wiley and Sons 🌐 English ⚖ 455 KB

Report made by M. Payen, in the name of

Report made by M. Payen, in the name of a special committee, on M. Breant's method for the preservation of wood

📂 Article 📅 1841 🏛 Elsevier Science 🌐 English ⚖ 120 KB

Report made by M. Paven, in the name of

Report made by M. Paven, in the name of a special committee, on M. Breant's method for the preservation of wood

📂 Article 📅 1841 🏛 Elsevier Science 🌐 English ⚖ 138 KB

A priori selection of the regularization

A priori selection of the regularization parameters in emission tomography by Fourier synthesis

✍ D. Mariano-Goulart; P. Maréchal; S. Gratton; L. Giraud; M. Fourcade 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 685 KB

This paper describes how the stability of the inverse problem underlying emission tomography can be measured and controlled in clinical settings. We show how the Lanczos approximation provides a way to regularize a certain class of iterative reconstruction algorithms through a given level of noise o