語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Industrial engineering- Mathematics." ]
切換:
標籤
|
MARC模式
|
ISBD
Novel mathematics inspired by indust...
~
Gunther, Michael.
FindBook
Google Book
Amazon
博客來
Novel mathematics inspired by industrial challenges
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Novel mathematics inspired by industrial challenges/ edited by Michael Gunther, Wil Schilders.
其他作者:
Gunther, Michael.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xxi, 337 p. :ill., digital ;24 cm.
內容註:
Part I: Computational Science and Engineering -- Multirate Schemes - An Answer of Numerical Analysis to a Demand from Applications -- Electronic Circuit Simulation and the Development of New Krylov-Subspace Methods -- Modular time integration of coupled problems in system dynamics -- Differential-Algebraic Equations and Beyond: From Smooth to Nonsmooth Constrained Dynamical Systems -- Fast Numerical Methods to Compute Periodic Solutions of Electromagnetic Models -- Challenges in the Simulation of Radio Frequency Circuits -- An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics -- From rotating fluid masses and Ziegler's paradox to Pontryagin- and Krein spaces and bifurcation theory -- Part II: Data Analysis and finance -- Topological Data Analysis -- Prediction Models with Functional Data for Variables related with Energy Production -- Quantization Methods for Stochastic Differential Equations.
Contained By:
Springer Nature eBook
標題:
Industrial engineering - Mathematics. -
電子資源:
https://doi.org/10.1007/978-3-030-96173-2
ISBN:
9783030961732
Novel mathematics inspired by industrial challenges
Novel mathematics inspired by industrial challenges
[electronic resource] /edited by Michael Gunther, Wil Schilders. - Cham :Springer International Publishing :2022. - xxi, 337 p. :ill., digital ;24 cm. - The European Consortium for Mathematics in Industry ;v. 38. - European Consortium for Mathematics in Industry ;v. 38..
Part I: Computational Science and Engineering -- Multirate Schemes - An Answer of Numerical Analysis to a Demand from Applications -- Electronic Circuit Simulation and the Development of New Krylov-Subspace Methods -- Modular time integration of coupled problems in system dynamics -- Differential-Algebraic Equations and Beyond: From Smooth to Nonsmooth Constrained Dynamical Systems -- Fast Numerical Methods to Compute Periodic Solutions of Electromagnetic Models -- Challenges in the Simulation of Radio Frequency Circuits -- An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics -- From rotating fluid masses and Ziegler's paradox to Pontryagin- and Krein spaces and bifurcation theory -- Part II: Data Analysis and finance -- Topological Data Analysis -- Prediction Models with Functional Data for Variables related with Energy Production -- Quantization Methods for Stochastic Differential Equations.
This contributed volume convenes a rich selection of works with a focus on innovative mathematical methods with applications in real-world, industrial problems. Studies included in this book are all motivated by a relevant industrial challenge, and demonstrate that mathematics for industry can be extremely rewarding, leading to new mathematical methods and sometimes even to entirely new fields within mathematics. The book is organized into two parts: Computational Sciences and Engineering, and Data Analysis and Finance. In every chapter, readers will find a brief description of why such work fits into this volume; an explanation on which industrial challenges have been instrumental for their inspiration; and which methods have been developed as a result. All these contribute to a greater unity of the text, benefiting not only practitioners and professionals seeking information on novel techniques but also graduate students in applied mathematics, engineering, and related fields.
ISBN: 9783030961732
Standard No.: 10.1007/978-3-030-96173-2doiSubjects--Topical Terms:
934993
Industrial engineering
--Mathematics.
LC Class. No.: T57 / .N68 2022
Dewey Class. No.: 620.00151
Novel mathematics inspired by industrial challenges
LDR
:03093nmm a2200361 a 4500
001
2299151
003
DE-He213
005
20220330172354.0
006
m d
007
cr nn 008maaau
008
230324s2022 sz s 0 eng d
020
$a
9783030961732
$q
(electronic bk.)
020
$a
9783030961725
$q
(paper)
024
7
$a
10.1007/978-3-030-96173-2
$2
doi
035
$a
978-3-030-96173-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
T57
$b
.N68 2022
072
7
$a
PBWH
$2
bicssc
072
7
$a
TBJ
$2
bicssc
072
7
$a
MAT003000
$2
bisacsh
072
7
$a
PBWH
$2
thema
072
7
$a
TBJ
$2
thema
082
0 4
$a
620.00151
$2
23
090
$a
T57
$b
.N937 2022
245
0 0
$a
Novel mathematics inspired by industrial challenges
$h
[electronic resource] /
$c
edited by Michael Gunther, Wil Schilders.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
xxi, 337 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
The European Consortium for Mathematics in Industry ;
$v
v. 38
505
0
$a
Part I: Computational Science and Engineering -- Multirate Schemes - An Answer of Numerical Analysis to a Demand from Applications -- Electronic Circuit Simulation and the Development of New Krylov-Subspace Methods -- Modular time integration of coupled problems in system dynamics -- Differential-Algebraic Equations and Beyond: From Smooth to Nonsmooth Constrained Dynamical Systems -- Fast Numerical Methods to Compute Periodic Solutions of Electromagnetic Models -- Challenges in the Simulation of Radio Frequency Circuits -- An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics -- From rotating fluid masses and Ziegler's paradox to Pontryagin- and Krein spaces and bifurcation theory -- Part II: Data Analysis and finance -- Topological Data Analysis -- Prediction Models with Functional Data for Variables related with Energy Production -- Quantization Methods for Stochastic Differential Equations.
520
$a
This contributed volume convenes a rich selection of works with a focus on innovative mathematical methods with applications in real-world, industrial problems. Studies included in this book are all motivated by a relevant industrial challenge, and demonstrate that mathematics for industry can be extremely rewarding, leading to new mathematical methods and sometimes even to entirely new fields within mathematics. The book is organized into two parts: Computational Sciences and Engineering, and Data Analysis and Finance. In every chapter, readers will find a brief description of why such work fits into this volume; an explanation on which industrial challenges have been instrumental for their inspiration; and which methods have been developed as a result. All these contribute to a greater unity of the text, benefiting not only practitioners and professionals seeking information on novel techniques but also graduate students in applied mathematics, engineering, and related fields.
650
0
$a
Industrial engineering
$x
Mathematics.
$3
934993
650
1 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
891089
650
2 4
$a
Data Analysis and Big Data.
$3
3538537
650
2 4
$a
Computational Science and Engineering.
$3
893018
700
1
$a
Gunther, Michael.
$3
1569952
700
1
$a
Schilders, Wil.
$3
3538752
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
European Consortium for Mathematics in Industry ;
$v
v. 38.
$3
3596425
856
4 0
$u
https://doi.org/10.1007/978-3-030-96173-2
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9441043
電子資源
11.線上閱覽_V
電子書
EB T57 .N68 2022
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入