Numerical Solution of Time-Dependent Advection-Diffusion-Reaction EquationsSpringer Science & Business Media, 03.04.2007 - 472 Seiten This book deals with numerical methods for solving partial differential equa tions (PDEs) coupling advection, diffusion and reaction terms, with a focus on time-dependency. A combined treatment is presented of methods for hy perbolic problems, thereby emphasizing the one-way wave equation, meth ods for parabolic problems and methods for stiff and non-stiff ordinary dif ferential equations (ODEs). With regard to time-dependency we have at tempted to present the algorithms and the discussion of their properties for the three different types of differential equations in a unified way by using semi-discretizations, i. e. , the method of lines, whereby the PDE is trans formed into an ODE by a suitable spatial discretization. In addition, for hy perbolic problems we also discuss discretizations that use information based on characteristics. Due to this combination of methods, this book differs substantially from more specialized textbooks that deal exclusively with nu merical methods for either PDEs or ODEs. We treat integration methods suitable for both classes of problems. This combined treatment offers a clear advantage. On the one hand, in the field of numerical ODEs highly valuable methods and results exist which are of practical use for solving time-dependent PDEs, something which is often not fully exploited by numerical PDE researchers. Although many problems can be solved by Euler's method or the Crank-Nicolson method, better alter natives are often available which can significantly reduce the computational effort needed to solve practical problems. |
Inhalt
I | 1 |
III | 3 |
IV | 9 |
V | 14 |
VI | 18 |
VII | 23 |
IX | 27 |
X | 30 |
LXXVII | 222 |
LXXVIII | 226 |
LXXIX | 233 |
LXXX | 239 |
LXXXII | 243 |
LXXXIII | 248 |
LXXXIV | 250 |
LXXXV | 251 |
XI | 35 |
XII | 37 |
XIII | 42 |
XIV | 44 |
XV | 46 |
XVI | 48 |
XVII | 49 |
XVIII | 52 |
XIX | 62 |
XX | 66 |
XXI | 71 |
XXIII | 74 |
XXIV | 77 |
XXV | 81 |
XXVI | 83 |
XXVII | 84 |
XXVIII | 85 |
XXIX | 86 |
XXX | 88 |
XXXI | 92 |
XXXII | 94 |
XXXIII | 99 |
XXXIV | 103 |
XXXV | 111 |
XXXVI | 116 |
XXXVIII | 118 |
XXXIX | 121 |
XL | 124 |
XLI | 127 |
XLII | 128 |
XLIII | 134 |
XLIV | 139 |
XLVI | 140 |
XLVII | 142 |
XLVIII | 144 |
XLIX | 149 |
L | 151 |
LI | 155 |
LII | 158 |
LIII | 161 |
LIV | 166 |
LV | 170 |
LVI | 171 |
LVII | 173 |
LVIII | 174 |
LIX | 181 |
LX | 182 |
LXI | 185 |
LXIII | 189 |
LXIV | 192 |
LXV | 196 |
LXVI | 197 |
LXVIII | 200 |
LXIX | 203 |
LXX | 205 |
LXXI | 206 |
LXXIII | 209 |
LXXIV | 215 |
LXXXVI | 253 |
LXXXVII | 258 |
LXXXVIII | 261 |
LXXXIX | 263 |
XC | 264 |
XCI | 265 |
XCII | 272 |
XCIII | 278 |
XCIV | 281 |
XCV | 283 |
XCVII | 288 |
XCVIII | 291 |
XCIX | 292 |
C | 293 |
CI | 295 |
CII | 303 |
CIII | 308 |
CIV | 311 |
CV | 316 |
CVII | 321 |
CVIII | 325 |
CXI | 329 |
CXII | 330 |
CXIII | 331 |
CXIV | 335 |
CXV | 337 |
CXVI | 344 |
CXVII | 348 |
CXIX | 351 |
CXX | 359 |
CXXI | 365 |
CXXII | 367 |
CXXIII | 369 |
CXXV | 373 |
CXXVI | 383 |
CXXVIII | 386 |
CXXIX | 391 |
CXXX | 393 |
CXXXI | 398 |
CXXXIII | 400 |
CXXXIV | 403 |
CXXXV | 405 |
CXXXVI | 409 |
CXXXVIII | 411 |
CXXXIX | 412 |
CXL | 419 |
CXLI | 420 |
CXLII | 426 |
CXLIII | 430 |
CXLIV | 433 |
CXLVI | 435 |
CXLVII | 436 |
CXLVIII | 438 |
CXLIX | 439 |
CL | 441 |
447 | |
465 | |
Andere Ausgaben - Alle anzeigen
Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations Willem Hundsdorfer,Jan G. Verwer Eingeschränkte Leseprobe - 2007 |
Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations Willem Hundsdorfer,Jan G. Verwer Eingeschränkte Leseprobe - 2013 |
Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations Willem Hundsdorfer,Jan G. Verwer Keine Leseprobe verfügbar - 2014 |
Häufige Begriffe und Wortgruppen
0-method A-stable accuracy advection equation advection problem advection-diffusion analysis angiogenesis applied approximations Aw(t backward Euler method boundary conditions central scheme coefficients computational conservation consider constant convergence Courant numbers derived difference scheme diffusion Dirichlet conditions discretization error eigenvalues error bound exact solution example explicit Euler method explicit trapezoidal rule finite difference first-order upwind scheme flux formula Fourier modes fourth-order function given gives global error grid points Hairer Hence higher-order IMEX implicit methods initial value integration L2-errors L2-norm linear multistep methods logarithmic norm Math matrix mesh width multistep methods Neumann nonlinear norm numerical solution obtained ODE methods ODE system order reduction parabolic polynomial R(TA Rosenbrock Runge-Kutta methods scalar second-order central Section semi-discrete system smooth spatial discretization spatial error stability region stiff system w'(t temporal Theorem third-order upwind-biased tn+1 trapezoidal rule truncation error vector Verwer w(tn Wn+1
Beliebte Passagen
Seite 464 - ... Protection Agency 600/2-87, 008. United States Department of Energy, (1988), Site-directed Subsurface Environmental Initiative, Five Year Summary and Plan for Fundamental Research in Subsoils and in Groundwater FY1989-1993, April 1988, DOE/ER 03441, Office of Energy Research. Weiser, A., and Wheeler, MF, (1988), On Convergence of Block Centered Finite Differences for Elliptic Problems, SIAM J. Numer. Anal, 25: 351-375. Wheeler, MF, Dawson, CN, Bedient, PB, Chiang, CY, Borden, RC and Rifai, HS,...
Seite 448 - D. [261, 473, 505, 531] (1991) A model for fast computer simulation of waves in excitable media.
Seite 464 - Fully multidimensional flux corrected transport algorithms for fluids, J.
Seite 463 - Convergence and order reduction of diagonally implicit RungeKutta schemes in the method of lines, in Griffiths, Watson: Numerical Analysis, Pitman Research Notes in Mathematics, 220-237, 1986.
Seite 448 - Descombes (2002), Order estimates in time of splitting methods for the nonlinear Schrodinger equation. SIAM J. Numer. Anal. 40, pp.
Seite 463 - Adaptive Methods for Partial Differential Equations. Eds. JE Flaherty, PJ Paslow, MS Shephard, JD Vasilakis, SIAM Proceedings Series, pp.
Seite 464 - Some difference schemes for the solution of the first boundary value problem for linear differential equations with partial derivatives, Thesis (in Russian), Moscow State University.
Seite 447 - An algorithm for ODEs from atmospheric dispersion problems. Appl. Numer. Math. 25, No.
Seite 463 - Explicit Runge-Kutta methods for parabolic partial differential equations. Appl. Numer. Math. 22, pp.