Numerical Methods for Conservation LawsSpringer, 6 дек. 2012 г. - Всего страниц: 220 These notes developed from a course on the numerical solution of conservation laws first taught at the University of Washington in the fall of 1988 and then at ETH during the following spring. The overall emphasis is on studying the mathematical tools that are essential in de veloping, analyzing, and successfully using numerical methods for nonlinear systems of conservation laws, particularly for problems involving shock waves. A reasonable un derstanding of the mathematical structure of these equations and their solutions is first required, and Part I of these notes deals with this theory. Part II deals more directly with numerical methods, again with the emphasis on general tools that are of broad use. I have stressed the underlying ideas used in various classes of methods rather than present ing the most sophisticated methods in great detail. My aim was to provide a sufficient background that students could then approach the current research literature with the necessary tools and understanding. Without the wonders of TeX and LaTeX, these notes would never have been put together. The professional-looking results perhaps obscure the fact that these are indeed lecture notes. Some sections have been reworked several times by now, but others are still preliminary. I can only hope that the errors are. not too blatant. Moreover, the breadth and depth of coverage was limited by the length of these courses, and some parts are rather sketchy. |
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... broadcasting, reproductionon microfilmsor in otherways,and storage in data banks. For any kind of use permission of the copyright owner must be obtained. www.springer.com Preface These notes developed from a course on the numerical.
... broadcasting, reproductionon microfilmsor in otherways,and storage in data banks. For any kind of use permission of the copyright owner must be obtained. www.springer.com Preface These notes developed from a course on the numerical.
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... obtain numerical results that are very poor. Asan example,Figure1.4 showssomenumerical results for the shock tube problem discussed earlierin this chapter. Ifweuse Godunov's method, afirst order accurate method describedin Chapter 13,we ...
... obtain numerical results that are very poor. Asan example,Figure1.4 showssomenumerical results for the shock tube problem discussed earlierin this chapter. Ifweuse Godunov's method, afirst order accurate method describedin Chapter 13,we ...
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... obtained with other standard first or second order methods. Figure 1.4. Solution of the shock tube problem at t = 0.5. The true density profile is shown along with the numerical solution computed with three different methods: Godunov's ...
... obtained with other standard first or second order methods. Figure 1.4. Solution of the shock tube problem at t = 0.5. The true density profile is shown along with the numerical solution computed with three different methods: Godunov's ...
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... obtain some convergence time. This isenough results and also guarantees thatspurious oscillations arenot generated. Methodswith this property are called TotalVariation Diminishing Methods, or simplyTVD Methods. Usingthis requirement as ...
... obtain some convergence time. This isenough results and also guarantees thatspurious oscillations arenot generated. Methodswith this property are called TotalVariation Diminishing Methods, or simplyTVD Methods. Usingthis requirement as ...
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... obtained by integrating this in time from t 1 to t 2 , giving an expression for the mass in [x 1 , x 2 ] attimet2> t1in terms of the massattimet1 and the total (integrated) fluxat each boundary during this time period: (2.4) To derive ...
... obtained by integrating this in time from t 1 to t 2 , giving an expression for the mass in [x 1 , x 2 ] attimet2> t1in terms of the massattimet1 and the total (integrated) fluxat each boundary during this time period: (2.4) To derive ...
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1shock advection equation approximate Riemann solution Burgers canbe cell averages characteristic field characteristics coefficient compute conservation law conservationlaw contact discontinuity convergence convex define density derive differential equations discrete eigenvalues eigenvector entropy condition entropysatisfying Euler equations exact solution example flow flux function fluxlimiter gas dynamics genuinely nonlinear gives Godunov’s method grid Hugoniot locus initial data integral curve integral form inthe Jacobian matrix jump LaxWendroff LeVeque1 Department linear advection equation linear system Lipschitz continuous modified equation monotone methods nonlinear problems nonlinear systems Note numerical methods numerical solution obtain ofthe piecewise constant piecewise linear RankineHugoniot rarefaction wave requires Riemann problem Roe’s satisfied scalar scalar conservation law second order accurate shallow water equations slope smooth solutions solve stability system of conservation thatthe theorem total variation total variation diminishing tothe truncation error TVD methods upwind method variables velocity viscosity solution weak solution XERCISE