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Adaptive Newton method for yield optimization with a hybrid Monte Carlo approach

Fuhrländer, Mona ; Schöps, Sebastian
ed.: Bogenfeld, Eckard (2019)
Adaptive Newton method for yield optimization with a hybrid Monte Carlo approach.
URSI Kleinheubacher Tagung (KHB 2019). Miltenberg (23.–25.09.2019)
Conference or Workshop Item, Bibliographie

Item Type: Conference or Workshop Item
Erschienen: 2019
Editors: Bogenfeld, Eckard
Creators: Fuhrländer, Mona ; Schöps, Sebastian
Type of entry: Bibliographie
Title: Adaptive Newton method for yield optimization with a hybrid Monte Carlo approach
Language: English
Date: September 2019
Publisher: U.R.S.I. Landesausschuss in der Bundesrepublik Deutschland e.V.
Event Title: URSI Kleinheubacher Tagung (KHB 2019)
Event Location: Miltenberg
Event Dates: 23.–25.09.2019
URL / URN: https://www.kh2019.de
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields > Computational Electromagnetics
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory (from 01.01.2019 renamed Institute for Accelerator Science and Electromagnetic Fields)
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory (from 01.01.2019 renamed Institute for Accelerator Science and Electromagnetic Fields) > Computational Engineering (from 01.01.2019 renamed Computational Electromagnetics)
18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields
Exzellenzinitiative
Exzellenzinitiative > Graduate Schools
Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE)
Date Deposited: 04 Dec 2019 12:44
Last Modified: 04 Dec 2019 12:44
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