找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Numerical Approximation of the Magnetoquasistatic Model with Uncertainties; Applications in Magn Ulrich R?mer Book 2016 The Editor(s) (if a

[復(fù)制鏈接]
查看: 33061|回復(fù): 39
樓主
發(fā)表于 2025-3-21 16:46:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties
副標(biāo)題Applications in Magn
編輯Ulrich R?mer
視頻videohttp://file.papertrans.cn/669/668960/668960.mp4
概述Nominated as an outstanding PhD thesis by Technische Universit?t Darmstadt, Germany.Proposes a mathematical approach for quantifying uncertainties in magnetic fields.Includes relevant numerical exampl
叢書名稱Springer Theses
圖書封面Titlebook: Numerical Approximation of the Magnetoquasistatic Model with Uncertainties; Applications in Magn Ulrich R?mer Book 2016 The Editor(s) (if a
描述.This book presents a comprehensive mathematical approach for solving stochastic magnetic field problems. It discusses variability in material properties and geometry, with an emphasis on the preservation of structural physical and mathematical properties. It especially addresses uncertainties in the computer simulation of magnetic fields originating from the manufacturing process. Uncertainties are quantified by approximating a stochastic reformulation of the governing partial differential equation, demonstrating how statistics of physical quantities of interest, such as Fourier harmonics in accelerator magnets, can be used to achieve robust designs. The book covers a number of key methods and results such as: a stochastic model of the geometry and material properties of magnetic devices based on measurement data; a detailed description of numerical algorithms based on sensitivities or on a higher-order collocation; an analysis of convergence and efficiency; and the application of the developed model and algorithms to uncertainty quantification in the complex magnet systems used in particle accelerators...?.
出版日期Book 2016
關(guān)鍵詞Nonlinear Magnetoquasistatic Problem; Magnetoquasistatic Approximation; Uncertain Material Properties;
版次1
doihttps://doi.org/10.1007/978-3-319-41294-8
isbn_softcover978-3-319-82316-4
isbn_ebook978-3-319-41294-8Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties影響因子(影響力)




書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties影響因子(影響力)學(xué)科排名




書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties網(wǎng)絡(luò)公開度




書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties被引頻次




書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties被引頻次學(xué)科排名




書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties年度引用




書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties年度引用學(xué)科排名




書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties讀者反饋




書目名稱Numerical Approximation of the Magnetoquasistatic Model with Uncertainties讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:57:58 | 只看該作者
Uncertainty Quantification,l be derived and techniques for their efficient approximation will be discussed and compared. To this end, the sensitivity analysis tools, derived in the previous chapter will be of central importance.
板凳
發(fā)表于 2025-3-22 01:50:21 | 只看該作者
Book 2016on a higher-order collocation; an analysis of convergence and efficiency; and the application of the developed model and algorithms to uncertainty quantification in the complex magnet systems used in particle accelerators...?.
地板
發(fā)表于 2025-3-22 04:59:45 | 只看該作者
5#
發(fā)表于 2025-3-22 09:17:55 | 只看該作者
6#
發(fā)表于 2025-3-22 13:30:07 | 只看該作者
Ulrich R?merNominated as an outstanding PhD thesis by Technische Universit?t Darmstadt, Germany.Proposes a mathematical approach for quantifying uncertainties in magnetic fields.Includes relevant numerical exampl
7#
發(fā)表于 2025-3-22 19:27:06 | 只看該作者
978-3-319-82316-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
8#
發(fā)表于 2025-3-22 23:23:33 | 只看該作者
Numerical Approximation of the Magnetoquasistatic Model with Uncertainties978-3-319-41294-8Series ISSN 2190-5053 Series E-ISSN 2190-5061
9#
發(fā)表于 2025-3-23 01:40:03 | 只看該作者
10#
發(fā)表于 2025-3-23 08:22:22 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 02:08
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
崇阳县| 阿勒泰市| 华蓥市| 七台河市| 民和| 池州市| 方山县| 湟中县| 牙克石市| 重庆市| 长宁县| 赤水市| 崇州市| 台前县| 金阳县| 高青县| 滁州市| 牡丹江市| 祁阳县| 普陀区| 富宁县| 太康县| 保德县| 金平| 织金县| 准格尔旗| 西乌珠穆沁旗| 绍兴市| 桦川县| 安顺市| 长泰县| 贵南县| 阳原县| 德保县| 西城区| 霞浦县| 宁德市| 颍上县| 桦川县| 林西县| 邢台市|