Numerical Methods in Physics with Python

Numerical Methods in Physics with Python

 
Kiadó: Cambridge University Press
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GBP 41.99
Becsült forint ár:
20 281 Ft (19 315 Ft + 5% áfa)
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18 253 (17 384 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 2 028 Ft)
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A termék adatai:

ISBN13:9781108738934
ISBN10:1108738931
Kötéstípus:Puhakötés
Terjedelem:604 oldal
Méret:245x189x28 mm
Súly:1300 g
Nyelv:angol
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Rövid leírás:

A standalone text for courses on computational physics combining idiomatic Python, foundational numerical methods, and physics applications.

Hosszú leírás:
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.

'I enthusiastically recommend Numerical Methods in Physics with Python by Professor Gezerlis to any advanced undergraduate or graduate student who would like to acquire a solid understanding of the basic numerical methods used in physics. The methods are demonstrated with Python, a relatively compact, accessible computer language, allowing the reader to focus on understanding how the methods work rather than on how to program them. Each chapter offers a self-contained, clear, and engaging presentation of the relevant numerical methods, and captivates the reader with well-motivated physics examples and interesting physics projects. Written by a leading expert in computational physics, this outstanding textbook is unique in that it focuses on teaching basic numerical methods while also including a number of modern numerical techniques that are usually not covered in computational physics textbooks.' Yoram Alhassid, Yale University, Connecticut
Tartalomjegyzék:
Preface; List of codes; 1. Idiomatic python; 2. Numbers; 3. Derivatives; 4. Matrices; 5. Roots; 6. Approximation; 7. Integrals; 8. Differential equations; Appendix A. Installation and setup; Appendix B. Number representations; Appendix C. Math background; Bibliography; Index.