國立虎尾科技大學 |

Novel Mathematics Inspired by Industrial Challenges

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Novel Mathematics Inspired by Industrial Challenges/ edited by Michael Günther, Wil Schilders.
其他作者:	Schilders, Wil.
面頁冊數:	XXI, 337 p. 95 illus., 63 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational Science and Engineering. -
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 Günther, Wil Schilders. - 1st ed. 2022. - XXI, 337 p. 95 illus., 63 illus. in color.online resource. - The European Consortium for Mathematics in Industry ;38. - The European Consortium for Mathematics in Industry ;21.

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:

670319
Computational Science and Engineering.

LC Class. No.: TA342-343

Dewey Class. No.: 003.3

Novel Mathematics Inspired by Industrial Challenges
LDR:03479nam a22004335i 4500 001 1091560
003 DE-He213
005 20220330172354.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030961732 $9 978-3-030-96173-2
024 7 $a 10.1007/978-3-030-96173-2 $2 doi
035 $a 978-3-030-96173-2
050 4 $a TA342-343
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 003.3 $2 23
245 1 0 $a Novel Mathematics Inspired by Industrial Challenges $h [electronic resource] / $c edited by Michael Günther, Wil Schilders.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XXI, 337 p. 95 illus., 63 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a The European Consortium for Mathematics in Industry ; $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 2 4 $a Computational Science and Engineering. $3 670319
650 2 4 $a Data Analysis and Big Data. $3 1366136
650 1 4 $a Mathematical Modeling and Industrial Mathematics. $3 669172
650 0 $a Mathematics—Data processing. $3 1365953
650 0 $a Quantitative research. $3 635913
650 0 $a Mathematical models. $3 527886
700 1 $a Schilders, Wil. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1366109
700 1 $a Günther, Michael. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1264917
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030961725
776 0 8 $i Printed edition: $z 9783030961749
776 0 8 $i Printed edition: $z 9783030961756
830 0 $a The European Consortium for Mathematics in Industry ; $v 21 $3 1264918
856 4 0 $u https://doi.org/10.1007/978-3-030-96173-2
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)