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Record ID harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:959089232:2745
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LEADER: 02745nam a22004815a 4500
001 013842141-2
005 20131206202741.0
008 121227s2000 gw | s ||0| 0|eng d
020 $a9783642583339
020 $a9783642583339
020 $a9783540677321
024 7 $a10.1007/978-3-642-58333-9$2doi
035 $a(Springer)9783642583339
040 $aSpringer
050 4 $aQA297-299.4
072 7 $aPBKS$2bicssc
072 7 $aMAT021000$2bisacsh
072 7 $aMAT006000$2bisacsh
082 04 $a518$223
100 1 $aFrommer, Andreas,$eeditor.
245 10 $aNumerical Challenges in Lattice Quantum Chromodynamics :$bJoint Interdisciplinary Workshop of John von Neumann Institute for Computing, Jülich, and Institute of Applied Computer Science, Wuppertal University, August 1999 /$cedited by Andreas Frommer, Thomas Lippert, Björn Medeke, Klaus Schilling.
264 1 $aBerlin, Heidelberg :$bSpringer Berlin Heidelberg :$bImprint: Springer,$c2000.
300 $aVIII, 184p. 32 illus.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aLecture Notes in Computational Science and Engineering,$x1439-7358 ;$v15
520 $aThe book with contributions from the joint interdisciplinary workshop covers important numerical bottleneck problems from lattice quantum chromodynamics: 1) The computation of Green's functions from huge sparse linear systems and the determination of flavor-singlet observables by stochastic estimates of matrix traces can both profit from novel preconditioning techniques and algebraic multi-level algorithms. 2) The exciting overlap fermion formulation requires the solution of linear systems including a matrix sign function, an extremely demanding numerical task that is tackled by Lanczos/projection methods. 3) Realistic simulations of QCD must include three light dynamical quark flavors with non-degenerate masses. Algorithms using polynomial approximations of the matrix determinant can deal with this situation. The volume aims at stimulating synergism and creating new links between lattice quantum and numerical analysis.
650 20 $aAlgorithms.
650 20 $aNumerical analysis.
650 10 $aMathematics.
650 0 $aMathematics.
650 0 $aAlgorithms.
650 0 $aNumerical analysis.
650 24 $aTheoretical, Mathematical and Computational Physics.
700 1 $aSchilling, Klaus,$eeditor.
700 1 $aMedeke, Björn,$eeditor.
700 1 $aLippert, Thomas,$eeditor.
776 08 $iPrinted edition:$z9783540677321
830 0 $aLecture Notes in Computational Science and Engineering ;$v15.
988 $a20131119
906 $0VEN