國立高雄大學圖資館 |

登入

回首頁

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 challengesedited 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.
Contained By:	Springer Nature eBook
標題:	Industrial engineeringMathematics.
電子資源:	https://doi.org/10.1007/978-3-030-96173-2
ISBN:	9783030961732$q(electronic bk.)

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 ;36..

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$q(electronic bk.)

Standard No.: 10.1007/978-3-030-96173-2doiSubjects--Topical Terms:

328921
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 623203
003 DE-He213
005 20220330172354.0
006 m d
007 cr nn 008maaau
008 221209s2022 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 328921
650 1 4 $a Mathematical Modeling and Industrial Mathematics. $3 274070
650 2 4 $a Data Analysis and Big Data. $3 913147
650 2 4 $a Computational Science and Engineering. $3 274685
700 1 $a Gunther, Michael. $3 561862
700 1 $a Schilders, Wil. $3 913347
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a European Consortium for Mathematics in Industry ; $v 36. $3 913348
856 4 0 $u https://doi.org/10.1007/978-3-030-96173-2
950 $a Mathematics and Statistics (SpringerNature-11649)