000 02494nam a22003498i 4500
001 CR9781139525398
003 UkCbUP
005 20200124160301.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 120622s2013||||enk o ||1 0|eng|d
020 _a9781139525398 (ebook)
020 _z9781107034303 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQC20
_b.F735 2013
082 0 0 _a530.15
_223
100 1 _aFranklin, Joel,
_d1975-
_eauthor.
245 1 0 _aComputational methods for physics /
_cJoel Franklin, Reed College.
264 1 _aCambridge :
_bCambridge University Press,
_c2013.
300 _a1 online resource (xvii, 400 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 01 Feb 2016).
505 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.
520 _aThere 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.
650 0 _aMathematical physics.
650 0 _aPhysics
_xData processing.
650 0 _aNumerical analysis.
776 0 8 _iPrint version:
_z9781107034303
856 4 0 _uhttps://doi.org/10.1017/CBO9781139525398
999 _c520381
_d520379