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020 _a9783031696305
_9978-3-031-69630-5
024 7 _a10.1007/978-3-031-69630-5
_2doi
050 4 _aQA431
072 7 _aPBKJ
_2bicssc
072 7 _aMAT007000
_2bisacsh
072 7 _aPBKJ
_2thema
100 1 _aGardner, Carl L.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986401
245 1 0 _aApplied Numerical Methods for Partial Differential Equations
_h[electronic resource] /
_cby Carl L. Gardner.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXII, 216 p. 76 illus., 75 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTexts in Applied Mathematics,
_x2196-9949 ;
_v78
505 0 _a1 Overview -- 2 Consistency, Stability, Convergence -- 3 Numerical Methods for ODE IVPs -- 4 Numerical Methods for ODE BVPs -- 5 Overview of PDEs -- 6 Numerical Methods for Parabolic PDEs -- 7 Numerical Methods for Elliptic PDEs -- 8 Numerical Methods for Hyperbolic PDEs -- 9 Numerical Methods for Mixed Type PDEs -- A Useful Mathematical Formulas -- B Norms and Condition Number -- References -- Index .
520 _aThe aim of this book is to quickly elevate students to a proficiency level where they can solve linear and nonlinear partial differential equations using state-of-the-art numerical methods. It covers numerous topics typically absent in introductory texts on ODEs and PDEs, including: Computing solutions to chaotic dynamical systems with TRBDF2 Simulating the nonlinear diffusion equation with TRBDF2 Applying Newton’s method and GMRES to the nonlinear Laplace equation Analyzing gas dynamics with WENO3 (1D Riemann problems and 2D supersonic jets) Modeling the drift-diffusion equations with TRBDF2 and PCG Solving the classical hydrodynamic model (electro-gas dynamics) with WENO3 and TRBDF2 The book features 34 original MATLAB programs illustrating each numerical method and includes 93 problems that confirm results discussed in the text and explore new directions. Additionally, it suggests eight semester-long projects. This comprehensive text can serve as the basis for a one-semester graduate course on the numerical solution of partial differential equations, or, with some advanced material omitted, for a one-semester junior/senior or graduate course on the numerical solution of ordinary and partial differential equations. The topics and programs will be of interest to applied mathematicians, engineers, physicists, biologists, chemists, and more. .
650 0 _aDifference equations.
_967184
650 0 _aFunctional equations.
_967185
650 0 _aMathematics
_xData processing.
_965715
650 0 _aDynamics.
_965524
650 0 _aNonlinear theories.
_965525
650 1 4 _aDifference and Functional Equations.
_967186
650 2 4 _aComputational Mathematics and Numerical Analysis.
_966073
650 2 4 _aApplied Dynamical Systems.
_965530
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031696299
776 0 8 _iPrinted edition:
_z9783031696312
776 0 8 _iPrinted edition:
_z9783031696329
830 0 _aTexts in Applied Mathematics,
_x2196-9949 ;
_v78
_976354
856 4 0 _uhttps://doi.org/10.1007/978-3-031-69630-5
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c64386
_d64386