02530cam a2200349 i 4500952015100000999001500151001000900166005001700175008004100192010001700233020002900250040002800279042000800307050002100315082001500336100002700351245007000378250001200448264005200460300004600512336002100558337002500579338002300604504006700627505040400694520094501098650002602043650003002069650002402099906004502123942001202168 00102ddc4070aMSAbMSAcSecond Floor - Engineering & Architectured2016-11-16l0o530.15 F.J.C 2013p21512r2016-11-16 00:00:00w2016-11-16yBK c1977d19771766016220170911121757.0130315s2013 enka b 001 0 eng a 2013003044 a9781107034303 (hardback) aDLCbengcDLCerdadDLC apcc00aQC20b.F735 201300a530.152231 aFranklin, Joel,d1975-10aComputational methods for physics /cJoel Franklin, Reed College. a1st ed. 1aCambridge :bCambridge University Press,c2013. axvii, 400 pages :billustrations ;c26 cm atext2rdacontent aunmediated2rdamedia avolume2rdacarrier aIncludes bibliographical references (pages 393-394) and index.8 aMachine generated contents note: 1. Programming overview; 2. Ordinary differential equations; 3. Root-finding; 4. Partial differential equations; 5. Time dependent problems; 6. Integration; 7. Fourier transform; 8. Harmonic oscillators; 9. Matrix inversion; 10. The eigenvalue problem; 11. Iterative methods; 12. Minimization; 13. Chaos; 14. Neural networks; 15. Galerkin methods; References; Index. a"There is an increasing need for undergraduate students in physics to have a core set of computational tools. Most problems in physics benefit from numerical methods, and many of them resist analytical solution altogether. This textbook presents numerical techniques for solving familiar physical problems where a complete solution is inaccessible using traditional mathematical methods. The numerical techniques for solving the problems are clearly laid out, with a focus on the logic and applicability of the method. The same problems are revisited multiple times using different numerical techniques, so readers can easily compare the methods. The book features over 250 end-of-chapter exercises. A website hosted by the author features a complete set of programs used to generate the examples and figures, which can be used as a starting point for further investigation. A link to this can be found at www.cambridge.org/9781107034303"-- 0aMathematical physics. 0aPhysicsxData processing. 0aNumerical analysis. a7bcbccorignewd1eecipf20gy-gencatlg 2ddccBK