東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advances in mathematics for engineer...

Ram, Mangey.

FindBook

Google Book

Amazon

博客來

Advances in mathematics for engineering sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in mathematics for engineering sciences / edited by Mangey Ram, Shristi Kharola, Akshay Kumar.
其他作者:	Ram, Mangey.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiii, 318 p. :ill., digital ;24 cm.
內容註:	1. Mathematical Models in Sustainable Engineering -- 2. Innovative Algorithms for Engineers -- 3. Stochastic Processes in Reliability Engineering -- 4. Modelling and Applications in Systems Engineering -- 5. Advanced Topics in Soft Computing.
Contained By:	Springer Nature eBook
標題:	Engineering mathematics. -
電子資源:	https://doi.org/10.1007/978-3-031-95693-5
ISBN:	9783031956935

Advances in mathematics for engineering sciences
Advances in mathematics for engineering sciences [electronic resource] /edited by Mangey Ram, Shristi Kharola, Akshay Kumar. - Cham :Springer Nature Switzerland :2025. - xiii, 318 p. :ill., digital ;24 cm. - Mathematical engineering,2192-4740. - Mathematical engineering..

1. Mathematical Models in Sustainable Engineering -- 2. Innovative Algorithms for Engineers -- 3. Stochastic Processes in Reliability Engineering -- 4. Modelling and Applications in Systems Engineering -- 5. Advanced Topics in Soft Computing.

This book highlights the practical benefits of advanced mathematics through real-world applications in various engineering fields, such as sustainable engineering, innovative algorithms, reliability engineering, systems engineering, and soft computing. It covers essential mathematical models for environmental and economic sustainability, cutting-edge algorithms with practical examples, and models in reliability engineering to improve system performance under uncertainty. The systems engineering section explores methods for designing and optimizing complex systems with case studies, while soft computing delves into fuzzy logic, neural networks, and genetic algorithms. Balancing theory with hands-on examples, this book simplifies complex topics and offers innovative solutions to global engineering challenges, making it an accessible guide for those wanting to deepen their understanding of advanced mathematics in engineering.

ISBN: 9783031956935

Standard No.: 10.1007/978-3-031-95693-5doiSubjects--Topical Terms:

516847
Engineering mathematics.

LC Class. No.: TA330 / .A38 2025

Dewey Class. No.: 620.00151

Advances in mathematics for engineering sciences
LDR:02228nmm a2200337 a 4500 001 2414716
003 DE-He213
005 20250926130459.0
006 m d
007 cr nn 008maaau
008 260205s2025 sz s 0 eng d
020 $a 9783031956935 $q (electronic bk.)
020 $a 9783031956928 $q (paper)
024 7 $a 10.1007/978-3-031-95693-5 $2 doi
035 $a 978-3-031-95693-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TA330 $b .A38 2025
072 7 $a TBJ $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a TBJ $2 thema
082 0 4 $a 620.00151 $2 23
090 $a TA330 $b .A244 2025
245 0 0 $a Advances in mathematics for engineering sciences $h [electronic resource] / $c edited by Mangey Ram, Shristi Kharola, Akshay Kumar.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiii, 318 p. : $b ill., digital ; $c 24 cm.
490 1 $a Mathematical engineering, $x 2192-4740
505 0 $a 1. Mathematical Models in Sustainable Engineering -- 2. Innovative Algorithms for Engineers -- 3. Stochastic Processes in Reliability Engineering -- 4. Modelling and Applications in Systems Engineering -- 5. Advanced Topics in Soft Computing.
520 $a This book highlights the practical benefits of advanced mathematics through real-world applications in various engineering fields, such as sustainable engineering, innovative algorithms, reliability engineering, systems engineering, and soft computing. It covers essential mathematical models for environmental and economic sustainability, cutting-edge algorithms with practical examples, and models in reliability engineering to improve system performance under uncertainty. The systems engineering section explores methods for designing and optimizing complex systems with case studies, while soft computing delves into fuzzy logic, neural networks, and genetic algorithms. Balancing theory with hands-on examples, this book simplifies complex topics and offers innovative solutions to global engineering challenges, making it an accessible guide for those wanting to deepen their understanding of advanced mathematics in engineering.
650 0 $a Engineering mathematics. $3 516847
650 1 4 $a Engineering Mathematics. $3 3301900
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 891040
700 1 $a Ram, Mangey. $3 3219561
700 1 $a Kharola, Shristi. $3 3791516
700 1 $a Kumar, Akshay. $3 3192705
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Mathematical engineering. $3 2055144
856 4 0 $u https://doi.org/10.1007/978-3-031-95693-5
950 $a Engineering (SpringerNature-11647)