Numerical Methods for Flows - Paperback

EAN (ISBN-13): 9783030307073
ISBN (ISBN-10): 3030307077
Paperback
Publishing year: 2017
Publisher: Springer International Publishing

Book in our database since 2021-05-26T12:58:05+01:00 (London)
Detail page last modified on 2022-04-03T09:26:54+01:00 (London)
ISBN/EAN: 9783030307073

ISBN - alternate spelling:
3-030-30707-7, 978-3-030-30707-3

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Information from Publisher

Author: Harald van Brummelen; Alessandro Corsini; Simona Perotto; Gianluigi Rozza
Title: Lecture Notes in Computational Science and Engineering; Numerical Methods for Flows - FEF 2017 Selected Contributions
Publisher: Springer; Springer International Publishing
362 Pages
Publishing year: 2021-08-26
Cham; CH
Printed / Made in
Weight: 0,575 kg
Language: English
128,39 € (DE)
131,99 € (AT)
141,50 CHF (CH)
POD
XII, 362 p. 186 illus., 81 illus. in color.

BC; Book; Hardcover, Softcover / Mathematik/Analysis; Differentialrechnung und -gleichungen; Verstehen; computational mechanics; computational fluid dynamics; scientific computing; numerical analysis; numerical methods PDEs; partial differential equations; B; Partial Differential Equations; Applications of Mathematics; Numerical Analysis; Computational Science and Engineering; Mathematical Modeling and Industrial Mathematics; Mathematical and Computational Engineering; Differential Equations; Applications of Mathematics; Numerical Analysis; Computational Science and Engineering; Mathematical Modeling and Industrial Mathematics; Mathematical and Computational Engineering Applications; Mathematics and Statistics; Angewandte Mathematik; Numerische Mathematik; Numerische Mathematik; Mathematische Modellierung; Mathematik für Ingenieure; Mathematik für Ingenieure; BB

1 L. Silva et al., Simulation of Complex High Reynolds Flows with a VMS method and Adaptive Meshing.- 2 B. Bastl et al., Comparison of coupled and decoupled solvers for incompressible Navier-Stokes equations solved by isogeometric analysis.- 3 A. Jaeschke and M. Möller, High-Order Isogeometric Methods for Compressible Flows. I. Scalar Conservation Laws.- 4 M. Möller and A. Jaeschke, High-Order Isogeometric Methods for Compressible Flows. II. Compressible Euler Equations.- 5 G. Tumolo and L. Bonaventura, Simulations of Non-hydrostatic Flows by an Efficient and Accurate p-adaptive DG Method.- 6 L. Bonaventura et al., A fully semi-Lagrangian method for the Navier–Stokes equations in primitive variables.- 7 A. Dervieux et al., Mesh adaptation for k-exact CFD approximations.- 8 M. R. A. Abdelmalik and E. H. van Brummelen, Entropy Stable Discontinuous Galerkin Finite Element Moment Methods for Compressible Fluid Dynamics.- 9 M. Make et al., Space-Time NURBS-Enhanced Finite Elements for Solving the Compressible Navier-Stokes Equations.- 10 S. Santoso et al., Fluid Flow Simulation from geometry data based on point clouds.- 11 C. Miles et al., Thermomechanically-consistent phase-field modelling of thin film flows.- 12 K. Bicol and A. Quaini, On the sensitivity to model parameters in a filter stabilization technique for advection dominated advection-diffusion-reaction problems.- 13 J. K. Ryan and J. Docampo, One-dimensional Line SIAC filtering for multi-dimensions: Applications to Streamline Visualization.- 14 J. H. Spühler et al., A high performance computing framework for finite element simulation of blood flow in the left ventricle of the human heart.- 15 B. S. Hosseini and M. Möller, Phase field-based incompressible two-component liquid flow simulation.- 16 J. Watkins et al., A study on the performance portability of the finite element assembly process within the Albany Land Ice solver.- 17 A. Johansson et al., A MultiMesh Finite Element Method for the Stokes Problem.- 18 Y. Mesri et al., A variational multi-scale anisotropic mesh adaptation scheme for aerothermal problems.- 19 N. Ferro et al., Density-based inverse homogenization with anisotropically adapted elements.- 20 H. Hajduk et al., Bathymetry reconstruction using inverse shallow water.- 21 E. G. Phillips et al., Enabling Scalable Multifluid Plasma Simulations through Block Preconditioning.- 22 S. Hijazi et al., The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: from Laminar to Turbulent Flows.- 23 J. M. Maljaars et al., Optimization Based Particle-Mesh Algorithm for High-Order and Conservative Scalar Transport.- 24 P. T. Lin et al., Krylov smoothing for fully-coupled AMG preconditioners for VMS resistive MHD.- 25 I. K. Marchevsky and G. A. Shcheglov, Double Layer Potential Density Reconstruction Procedure For 3D Vortex Methods.- 26 T. Yamada and K. Goto, Balancing Domain Decomposition Method on Additive Schwartz Framework for Multi-level Implementation.- 27 M. Gerritsma et al., Algebraic dual polynomials for the equivalence of curl-curl problems.- 28 K. Masui et al., Multiple-precision Iterative Methods for Solving Complex Symmetric Electromagnetic Systems.- 29 D. Kuzmin, Gradient-based limiting and stabilization of continuous Galerkin methods.- 30 J. Llobell et al., High order CG schemes for KdV and Saint-Venant flows.