000 02357nam a22003498i 4500
001 CR9780511614118
003 UkCbUP
005 20200124160220.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 090914s2004||||enk o ||1 0|eng|d
020 _a9780511614118 (ebook)
020 _z9780521772907 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA614.83
_b.L45 2004
082 0 0 _a515/.39
_222
100 1 _aLeimkuhler, B.,
_eauthor.
245 1 0 _aSimulating Hamiltonian dynamics /
_cBenedict Leimkuhler, Sebastian Reich.
264 1 _aCambridge :
_bCambridge University Press,
_c2004.
300 _a1 online resource (xvi, 379 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge monographs on applied and computational mathematics ;
_v14
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aGeometric integrators are time-stepping methods, designed such that they exactly satisfy conservation laws, symmetries or symplectic properties of a system of differential equations. In this book the authors outline the principles of geometric integration and demonstrate how they can be applied to provide efficient numerical methods for simulating conservative models. Beginning from basic principles and continuing with discussions regarding the advantageous properties of such schemes, the book introduces methods for the N-body problem, systems with holonomic constraints, and rigid bodies. More advanced topics treated include high-order and variable stepsize methods, schemes for treating problems involving multiple time-scales, and applications to molecular dynamics and partial differential equations. The emphasis is on providing a unified theoretical framework as well as a practical guide for users. The inclusion of examples, background material and exercises enhance the usefulness of the book for self-instruction or as a text for a graduate course on the subject.
650 0 _aHamiltonian systems.
700 1 _aReich, Sebastian,
_eauthor.
776 0 8 _iPrint version:
_z9780521772907
830 0 _aCambridge monographs on applied and computational mathematics ;
_v14.
856 4 0 _uhttps://doi.org/10.1017/CBO9780511614118
999 _c516614
_d516612