000 03649nam a2200553 i 4500
001 6267271
003 IEEE
005 20220712204615.0
006 m o d
007 cr |n|||||||||
008 151224s2003 maua ob 001 eng d
010 _z 88000600 (print)
020 _a9780262256254
_qelectronic
020 _z9780262571920
_qprint
020 _z026207110X
035 _a(CaBNVSL)mat06267271
035 _a(IDAMS)0b000064818b423f
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQC20.7.P67
_bG74 1988eb
082 0 0 _a530.1/557
_219
100 1 _aGreengard, Leslie,
_eauthor.
_921859
245 1 4 _aThe rapid evaluation of potential fields in particle systems /
_cLeslie Greengard.
264 1 _aCambridge, Massachusetts :
_bMIT Press,
_cc1988.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2003]
300 _a1 PDF (iv, 90 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aACM distinguished dissertations
500 _aIncludes index.
502 _aThesis (doctoral)--Yale University.
504 _aIncludes bibliographical references (p. )[87]-90.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aThe Rapid Evaluation of Potential Fields in Particle Systems presents a group of algorithms for the computation of the potential and force fields in large-scale systems of particles that are likely to revolutionize a whole class of computer applications in science and engineering.In many areas of scientific computing, from studying the evolution of galaxies, to simulating the behavior of plasmas and fluids, to modelling chemical systems, a numerical scheme is used to follow the trajectories of a collection of particles moving in accordance with Newton's second law of motion in a field generated by the whole ensemble. Extending the earlier work of Rokhlin, Greengard has developed general, numerically stable methods for evaluating all pairwise interactions in linear time, a great improvement over the quadratic time required by the naive approach, and significantly better than any other proposed alternative.The "Rokhlin-Greengard" algorithm promises to make previously prohibitive simulations feasible, with speedups of three to four orders of magnitude in a system of a million particles. Moreover, the algorithm is well-suited for vector and parallel machines, and should make full use of their capabilities. The author presents his work with great clarity, and demonstrates the superiority of his methods both by mathematical analysis and by the results of numerical experiments.Leslie Greengard received his doctorate from Yale University where he is a NSF Postdoctoral Fellow in the Computer Science Department. The Rapid Evaluation of Potential Fields in Particle Systems is a 1987 ACM Distinguished Dissertation.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/24/2015.
650 0 _aPotential theory (Mathematics)
_921860
650 0 _aParticles.
_910753
650 0 _aAlgorithms.
_93390
650 0 _aMathematical physics.
_911013
655 0 _aElectronic books.
_93294
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_921861
710 2 _aMIT Press,
_epublisher.
_921862
776 0 8 _iPrint version
_z9780262571920
830 0 _aACM distinguished dissertations
_921754
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267271
942 _cEBK
999 _c72929
_d72929