LEADER 03934nam 22006495 450 001 9910254582803321 005 20200706144133.0 010 $a3-319-57846-4 024 7 $a10.1007/978-3-319-57846-0 035 $a(CKB)3710000001404657 035 $a(DE-He213)978-3-319-57846-0 035 $a(MiAaPQ)EBC4876177 035 $a(PPN)202991458 035 $a(EXLCZ)993710000001404657 100 $a20170612d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGrid Generation Methods /$fby Vladimir D. Liseikin 205 $a3rd ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XX, 530 p. 151 illus., 14 illus. in color.) 225 1 $aScientific Computation,$x1434-8322 311 $a3-319-57845-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aGeneral Considerations -- Coordinate Transformations -- Grid Quality Measures -- Stretching Method -- Algebraic Grid Generation -- Grid Generation Through Differential Systems -- Variational Methods -- Curve and Surface Grid Methods -- Comprehensive Method -- Numerical Implementations of Comprehensive Grid Generators -- Control of Grid Properties -- Unstructured Methods -- Applications of Adaptive Grids to Solution of Problems -- References -- Index. 330 $aThis new edition provides a description of current developments relating to grid methods, grid codes, and their applications to actual problems. Grid generation methods are indispensable for the numerical solution of differential equations. Adaptive grid-mapping techniques, in particular, are the main focus and represent a promising tool to deal with systems with singularities. This 3rd edition includes three new chapters on numerical implementations (10), control of grid properties (11), and applications to mechanical, fluid, and plasma related problems (13). Also the other chapters have been updated including new topics, such as curvatures of discrete surfaces (3). Concise descriptions of hybrid mesh generation, drag and sweeping methods, parallel algorithms for mesh generation have been included too. This new edition addresses a broad range of readers: students, researchers, and practitioners in applied mathematics, mechanics, engineering, physics and other areas of applications. 410 0$aScientific Computation,$x1434-8322 606 $aPhysics 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aComputer mathematics 606 $aComputer science?Mathematics 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 606 $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 615 0$aPhysics. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aComputer mathematics. 615 0$aComputer science?Mathematics. 615 14$aNumerical and Computational Physics, Simulation. 615 24$aMathematical and Computational Engineering. 615 24$aComputational Science and Engineering. 615 24$aMathematics of Computing. 676 $a519.4 700 $aLiseikin$b Vladimir D$4aut$4http://id.loc.gov/vocabulary/relators/aut$0472552 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254582803321 996 $aGrid generation methods$9225573 997 $aUNINA