Classical mechanics :: a computational approach with examples using mathematica and python / Christopher W. Kulp and Vasilis Pagonis
Material type: TextPublication details: Boca Raton CRC Press 2021Description: 455pISBN:- 9781138495289
- 531 KUL-C
Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|---|
Books | BITS Pilani Hyderabad | 530 | General Stack (For lending) | 531 KUL-C (Browse shelf(Opens below)) | GBP 82.99 | Available | 47364 |
Browsing BITS Pilani Hyderabad shelves, Shelving location: General Stack (For lending), Collection: 530 Close shelf browser (Hides shelf browser)
531 KAK-S Mechanics / | 531 KAT-L Problems in classical mechanics / | 531 KAZ-S Solid mechanics / | 531 KUL-C Classical mechanics : a computational approach with examples using mathematica and python / | 531 KUM-N Course in mechanics / | 531 LAN-L Mechanics / | 531 LEE-C Essential classical mechanics / |
Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary introduction to classical mechanics, focusing on computational methods. In addition to providing precise and thorough coverage of key topics, this textbook includes integrated instructions and treatments of computation. Full of pedagogy, it contains analytical and computational example problems within the body of each chapter. The example problems teach readers analytical methods and how to use computer algebra systems and computer programming to solve problems in classical mechanics. End-of-chapter issues allow students to hone their problem-solving skills with and without using a computer. The methods presented in this book can then be used by students when solving problems in other fields, both within and outside physics. It is an ideal textbook for physics, mathematics, and engineering undergraduate students studying classical mechanics. Features: Gives readers the "big picture" of classical mechanics and the importance of computation in the solution of problems in physics. Numerous example problems using both analytical and computational methods, as well as explanations as to how and why specific techniques were used. Online resources containing specific example codes to help students learn computational methods and write their algorithms A solutions manual is available via the Routledge Instructor Hub and extra code is available via the Support Material tab.
There are no comments on this title.