Mathematics in Computational Science and Engineering
Applied science and engineering is the application of fundamental concepts and knowledge to design, build and maintain a product or a process, which provides a solution to a problem and fulfills a need. This book contains advanced topics in computational techniques across all the major engineering disciplines for undergraduate, postgraduate, doctoral and postdoctoral students. This will also be found useful for professionals in an industrial setting. It covers the most recent trends and issues in computational techniques and methodologies for applied sciences and engineering, production planning, and manufacturing systems. More importantly, it explores the application of computational techniques and simulations through mathematics in the field of engineering and the sciences.
Whether for the veteran engineer, scientist, student, or other industry professional, this volume is a must-have for any library. Useful across all engineering disciplines, it is a multifactional tool that can be put to use immediately in practical applications.
This groundbreaking new volume:
- Includes detailed theory with illustrations
- Uses an algorithmic approach for a unique learning experience
- Presents a brief summary consisting of concepts and formulae
- Is pedagogically designed to make learning highly effective and productive
- Is comprised of peer-reviewed articles written by leading scholars, researchers and professors
Scrivener Publishing LLC
applied science and engineering, computational techniques, production planning, manufacturing systems.
Physical Sciences and Mathematics
Faculty of Applied Science an Technology (FAST)
© 2022 Scrivener Publishing LLC
Bhardwaj, Ramakant; Mishra, Jyoti; Narayan, Satyendra; and Suseendran, Gopalakrishnan, "Mathematics in Computational Science and Engineering" (2022). Books and Websites. 14.
Bhardwaj, R., Mishra, J., Narayan, S., & Suseendran, G. (Eds.). (2022). Mathematics in computational science and engineering. Scrivener Publishing LLC. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119777557