Numerical methods in physics with python / Alex Gezerlis
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9781108738934
- 530.1502 GEZ-A
Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
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BITS Pilani Hyderabad | 530 | General Stack (For lending) | 530.1502 GEZ-A (Browse shelf(Opens below)) | Available | 44845 |
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530.15 SCH-C P- and hp- finite element methods : theory and applications in solid and fluid mechanics / | 530.15 STE-W Theoretical and mathematical physics : problems and solutions / | 530.15 WHE-C A first course in mathematical physics / | 530.1502 GEZ-A Numerical methods in physics with python / | 530.151 SAX-A Mathematical physics / | 530.151 SOM-A Mechanics of deformable bodies : lectures on theoretical physics / | 530.1522 DRE-M Group theory : application to the physics of condensed matter / |
Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.
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