Mathematical Methods for Engineering Applications: ICMASE 2023, Madrid, Spain, July 12–14 (2024) (Springer Proceedings in Mathematics & Statistics #439)
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- Synopsis
- These proceedings gather selected, peer-reviewed papers presented at the IV International Conference on Mathematics and its Applications in Science and Engineering – ICMASE 2023, held on July 12–14, 2023 by the University Center of Technology and Digital Arts (U-tad) in Madrid, Spain.Papers in this volume cover new developments in applications of mathematics in science and engineering, with an emphasis on mathematical and computational modeling of real-world problems. Topics range from the use of differential equations to model mechanical structures to the employ of number theory in the development of information security and cryptography. Educational issues specific to the acquisition of mathematical competencies by engineering and science students at all university levels are also touched on.Researchers, practitioners, and university students can significantly benefit from this volume, especially those seeking advanced methods for applying mathematics to various contexts and fields.
- Copyright:
- 2024
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031492181
- Related ISBNs:
- 9783031492174
- Publisher:
- Springer Nature Switzerland
- Date of Addition:
- 05/04/24
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Education, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Víctor Gayoso Martínez
- Edited by:
- Fatih Yilmaz
- Edited by:
- Araceli Queiruga-Dios
- Edited by:
- Deolinda M.L.D. Rasteiro
- Edited by:
- Jesús Martín-Vaquero
- Edited by:
- Ion Mierluş-Mazilu
Reviews
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- by Víctor Gayoso Martínez
- by Fatih Yilmaz
- by Araceli Queiruga-Dios
- by Deolinda M. L. D. Rasteiro
- by Jesús Martín-Vaquero
- by Ion Mierluş-Mazilu
- in Nonfiction
- in Education
- in Mathematics and Statistics