References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative...

19
References [ABB + 99] Anderson E., Bai Z., Bischof C., Blackford S., Demmel J., Don- garra J., Croz J. D., Greenbaum A., Hammarling S., McKenney A., and Sorensen D. (1999) LAPACK User’s Guide. 3rd edition. SIAM, Philadelphia. [Ada90] Adair R. (1990) The Physics of Baseball. Harper and Row, New York. [Arn73] Arnold V. (1973) Ordinary Differential Equations. The MIT Press, Cambridge. [Atk89] Atkinson K. (1989) An Introduction to Numerical Analysis. 2nd edition. John Wiley & Sons Inc., New York. [Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni- versity Press, Cambridge. [BB96] Brassard G. and Bratley P. (1996) Fundamentals of Algorith- mics. Prentice Hall Inc., Englewood Cliffs, NJ. [BM92] Bernardi C. and Maday Y. (1992) Approximations Spectrales des Probl´ emes aux Limites Elliptiques. Springer-Verlag, Paris. [Bra97] Braess D. (1997) Finite Elements: Theory, Fast Solvers and Applications in Solid Mechanics. Cambridge University Press, Cambridge. [BS01] Babuska I. and Strouboulis T. (2001) The Finite Element Method and its Reliability. Numerical Mathematics and Sci- entific Computation. The Clarendon Press Oxford University Press, New York. [But87] Butcher J. (1987) The Numerical Analysis of Ordinary Differen- tial Equations: Runge-Kutta and General Linear Methods. Wi- ley, Chichester. [CFL28] Courant R., Friedrichs K., and Lewy H. (1928) ¨ Uber die partiellen Differenzengleichungen der mathematischen Physik. Math. Ann. 100(1): 32–74. [CHQZ06] Canuto C., Hussaini M. Y., Quarteroni A., and Zang T. A. (2006) Spectral Methods: Fundamentals in Single Domains. Sci- entific Computation. Springer-Verlag, Berlin. [CHQZ07] Canuto C., Hussaini M. Y., Quarteroni A., and Zang T. A. (2007) Spectral Methods. Evolution to Complex Geometries

Transcript of References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative...

Page 1: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

References

[ABB+99] Anderson E., Bai Z., Bischof C., Blackford S., Demmel J., Don-garra J., Croz J. D., Greenbaum A., Hammarling S., McKenneyA., and Sorensen D. (1999) LAPACK User’s Guide. 3rd edition.SIAM, Philadelphia.

[Ada90] Adair R. (1990) The Physics of Baseball. Harper and Row, NewYork.

[Arn73] Arnold V. (1973) Ordinary Differential Equations. The MITPress, Cambridge.

[Atk89] Atkinson K. (1989) An Introduction to Numerical Analysis. 2ndedition. John Wiley & Sons Inc., New York.

[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge.

[BB96] Brassard G. and Bratley P. (1996) Fundamentals of Algorith-mics. Prentice Hall Inc., Englewood Cliffs, NJ.

[BM92] Bernardi C. and Maday Y. (1992) Approximations Spectrales desProblemes aux Limites Elliptiques. Springer-Verlag, Paris.

[Bra97] Braess D. (1997) Finite Elements: Theory, Fast Solvers andApplications in Solid Mechanics. Cambridge University Press,Cambridge.

[BS01] Babuska I. and Strouboulis T. (2001) The Finite ElementMethod and its Reliability. Numerical Mathematics and Sci-entific Computation. The Clarendon Press Oxford UniversityPress, New York.

[But87] Butcher J. (1987) The Numerical Analysis of Ordinary Differen-tial Equations: Runge-Kutta and General Linear Methods. Wi-ley, Chichester.

[CFL28] Courant R., Friedrichs K., and Lewy H. (1928) Uber diepartiellen Differenzengleichungen der mathematischen Physik.Math. Ann. 100(1): 32–74.

[CHQZ06] Canuto C., Hussaini M. Y., Quarteroni A., and Zang T. A.(2006) Spectral Methods: Fundamentals in Single Domains. Sci-entific Computation. Springer-Verlag, Berlin.

[CHQZ07] Canuto C., Hussaini M. Y., Quarteroni A., and Zang T. A.(2007) Spectral Methods. Evolution to Complex Geometries

Page 2: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

348 References

and Applications to Fluid Dynamics. Scientific Computation.Springer, Heidelberg.

[CLW69] Carnahan B., Luther H., and Wilkes J. (1969) Applied NumericalMethods. John Wiley & Sons, Inc., New York.

[Dav63] Davis P. (1963) Interpolation and Approximation. Blaisdell Pub-lishing Co. Ginn and Co. New York-Toronto-London, New York.

[dB01] de Boor C. (2001) A practical guide to splines. Applied Mathe-matical Sciences. Springer-Verlag, New York.

[DD99] Davis T. and Duff I. (1999) A combined unifrontal/multifrontalmethod for unsymmetric sparse matrices. ACM Transactions onMathematical Software 25(1): 1–20.

[Dem97] Demmel J. (1997) Applied Numerical Linear Algebra. SIAM,Philadelphia.

[Deu04] Deuflhard P. (2004) Newton Methods for Nonlinear Problems.Affine Invariance and Adaptive Algorithms. Springer Series inComputational Mathematics. Springer-Verlag, Berlin.

[Die93] Dierckx P. (1993) Curve and Surface Fitting with Splines. Mono-graphs on Numerical Analysis. The Clarendon Press Oxford Uni-versity Press, New York.

[DL92] DeVore R. and Lucier B. (1992) Wavelets. In Acta numerica,1992, pages 1–56. Cambridge Univ. Press, Cambridge.

[DR75] Davis P. and Rabinowitz P. (1975) Methods of Numerical Inte-gration. Academic Press, New York.

[DS96] Dennis J. and Schnabel R. (1996) Numerical Methods for Un-constrained Optimization and Nonlinear Equations. Classics inApplied Mathematics. Society for Industrial and Applied Math-ematics (SIAM), Philadelphia, PA.

[dV89] der Vorst H. V. (1989) High Performance Preconditioning. SIAMJ. Sci. Stat. Comput. 10: 1174–1185.

[EBH08] Eaton J., Bateman D., and Hauberg S. (2008) GNU OctaveManual Version 3. Network Theory Ltd., Bristol.

[EEHJ96] Eriksson K., Estep D., Hansbo P., and Johnson C. (1996) Com-putational Differential Equations. Cambridge Univ. Press, Cam-bridge.

[EKM05] Etter D., Kuncicky D., and Moore H. (2005) Introduction toMATLAB 7. Prentice Hall, Englewood Cliffs.

[Eva98] Evans L. (1998) Partial Differential Equations. American Math-ematical Society, Providence.

[Fun92] Funaro D. (1992) Polynomial Approximation of DifferentialEquations. Springer-Verlag, Berlin Heidelberg.

[Gau97] Gautschi W. (1997) Numerical Analysis. An Introduction.Birkhauser Boston Inc., Boston, MA.

[Gea71] Gear C. (1971) Numerical Initial Value Problems in OrdinaryDifferential Equations. Prentice-Hall, Upper Saddle River NJ.

[GI04] George A. and Ikramov K. (2004) Gaussian elimination is stablefor the inverse of a diagonally dominant matrix. Math. Comp.73(246): 653–657.

[GL96] Golub G. and Loan C. V. (1996) Matrix Computations. 3rd edi-tion. The John Hopkins Univ. Press, Baltimore, MD.

Page 3: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

References 349

[GN06] Giordano N. and Nakanishi H. (2006) Computational Physics.2nd edition. Prentice-Hall, Upper Saddle River NJ.

[GR96] Godlewski E. and Raviart P.-A. (1996) Hyperbolic Systems ofConservations Laws. Springer-Verlag, New York.

[Hac85] Hackbusch W. (1985) Multigrid Methods and Applications.Springer Series in Computational Mathematics. Springer-Verlag,Berlin.

[Hac94] Hackbusch W. (1994) Iterative Solution of Large Sparse Systemsof Equations. Applied Mathematical Sciences. Springer-Verlag,New York.

[Hes98] Hesthaven J. (1998) From electrostatics to almost optimal nodalsets for polynomial interpolation in a simplex. SIAM J. Numer.Anal. 35(2): 655–676.

[HH05] Higham D. and Higham N. (2005) MATLAB Guide. 2nd edition.SIAM Publications, Philadelphia, PA.

[Hig02] Higham N. (2002) Accuracy and Stability of Numerical Algo-rithms. 2nd edition. SIAM Publications, Philadelphia, PA.

[Hir88] Hirsh C. (1988) Numerical Computation of Internal and Exter-nal Flows. John Wiley and Sons, Chichester.

[HLR06] Hunt B., Lipsman R., and Rosenberg J. (2006) A guide to MAT-LAB. For Beginners and Experienced Users. 2nd edition. Cam-bridge University Press, Cambridge.

[IK66] Isaacson E. and Keller H. (1966) Analysis of Numerical Methods.Wiley, New York.

[Joh90] Johnson C. (1990) Numerical Solution of Partial DiffferentialEquations by the Finite Element Method. Cambridge UniversityPress, Cambridge.

[Kro98] Kroner D. (1998) Finite Volume Schemes in Multidimensions.In Numerical analysis 1997 (Dundee), Pitman Res. Notes Math.Ser., pages 179–192. Longman, Harlow.

[KS99] Karniadakis G. and Sherwin S. (1999) Spectral/hp ElementMethods for CFD. Oxford University Press, New York.

[Lam91] Lambert J. (1991) Numerical Methods for Ordinary DifferentialSystems. John Wiley and Sons, Chichester.

[Lan03] Langtangen H. (2003) Advanced Topics in Computational Par-tial Differential Equations: Numerical Methods and DiffpackProgramming. Springer-Verlag, Berlin Heidelberg.

[LeV02] LeVeque R. (2002) Finite Volume Methods for Hyperbolic Prob-lems. Cambridge University Press, Cambridge.

[Mei67] Meinardus G. (1967) Approximation of Functions: Theory andNumerical Methods. Springer Tracts in Natural Philosophy.Springer-Verlag New York, Inc., New York.

[MH03] Marchand P. and Holland O. (2003) Graphics and GUIs withMATLAB. 3rd edition. Chapman & Hall/CRC, London, NewYork.

[Nat65] Natanson I. (1965) Constructive Function Theory. Vol. III. In-terpolation and approximation quadratures. Frederick UngarPublishing Co., New York.

Page 4: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

350 References

[OR70] Ortega J. and Rheinboldt W. (1970) Iterative Solution of Non-linear Equations in Several Variables. Academic Press, NewYork, London.

[Pal08] Palm W. (2008) A Concise Introduction to Matlab. McGraw-Hill, New York.

[Pan92] Pan V. (1992) Complexity of Computations with Matrices andPolynomials. SIAM Review 34(2): 225–262.

[PBP02] Prautzsch H., Boehm W., and Paluszny M. (2002) Bezier andB-Spline Techniques. Mathematics and Visualization. Springer-Verlag, Berlin.

[PdDKUK83] Piessens R., de Doncker-Kapenga E., Uberhuber C., and Ka-haner D. (1983) QUADPACK: A Subroutine Package for Auto-matic Integration. Springer Series in Computational Mathemat-ics. Springer-Verlag, Berlin.

[Pra06] Pratap R. (2006) Getting Started with MATLAB 7: A QuickIntroduction for Scientists and Engineers. Oxford UniversityPress, New York.

[QSS07] Quarteroni A., Sacco R., and Saleri F. (2007) Numerical Math-ematics. 2nd edition. Texts in Applied Mathematics. Springer-Verlag, Berlin.

[Qua09] Quarteroni A. (2009) Numerical Models for Differential Prob-lems. Series: MS&A , Vol. 2. Springer-Verlag, Milano.

[QV94] Quarteroni A. and Valli A. (1994) Numerical Approximation ofPartial Differential Equations. Springer-Verlag, Berlin.

[RR01] Ralston A. and Rabinowitz P. (2001) A First Course in Numer-ical Analysis. 2nd edition. Dover Publications Inc., Mineola,NY.

[Saa92] Saad Y. (1992) Numerical Methods for Large Eigenvalue Prob-lems. Manchester University Press, Manchester; Halsted Press(John Wiley & Sons, Inc.), Manchester; New York.

[Saa03] Saad Y. (2003) Iterative Methods for Sparse Linear Systems. 2ndedition. SIAM publications, Philadelphia, PA.

[Sal08] Salsa S. (2008) Partial Differential Equations in Action - FromModelling to Theory. Springer, Milan.

[SM03] Suli E. and Mayers D. (2003) An Introduction to NumericalAnalysis. Cambridge University Press, Cambridge.

[Str] Stratton J. (2007) Electromagnetic Theory. Wiley-IEEE Press,Hoboken, New Jersey.

[TW98] Tveito A. and Winther R. (1998) Introduction to Partial Differ-ential Equations. A Computational Approach. Springer-Verlag,Berlin Heidelberg.

[Ube97] Uberhuber C. (1997) Numerical Computation: Methods, Soft-ware, and Analysis. Springer-Verlag, Berlin.

[Urb02] Urban K. (2002) Wavelets in Numerical Simulation. LectureNotes in Computational Science and Engineering. Springer-Verlag, Berlin.

[vdV03] van der Vorst H. (2003) Iterative Krylov Methods for Large Lin-ear Systems. Cambridge Monographs on Applied and Compu-tational Mathematics. Cambridge University Press, Cambridge.

Page 5: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

References 351

[Wes04] Wesseling P. (2004) An Introduction to Multigrid Methods. R.T.Edwards, Inc., Philadelphia.

[Wil88] Wilkinson J. (1988) The Algebraic Eigenvalue Problem. Mono-graphs on Numerical Analysis. The Clarendon Press Oxford Uni-versity Press, New York.

[Zha99] Zhang F. (1999) Matrix theory. Universitext. Springer-Verlag,New York.

Page 6: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

Index

abs, 8adaptive

interpolation, 94quadrature formulae, 121Runge-Kutta, 230stepsize, 227

algorithm, 29backward substitutions, 136forward substitutions, 136Gauss elimination, 137Horner, 66Strassen, 29synthetic division, 66Thomas, 151, 260Winograd and Coppersmith, 29

aliasing, 91angle, 8anonymous function, 17ans, 31approximation, 78

least-squares, 100arpackc, 197artificial

diffusion flux, 285viscosity, 266, 285

asymptotic convergence factor, 58average, 106axis, 191

backward difference formula, 231baseball trajectory, 202, 254basis, 4

bicgstab, 168biomechanics, 76, 101boundary conditions, 258, 300

Dirichlet, 258Neumann, 258, 300

boundary-value problem, 175, 255Butcher array, 229, 230

cancellation, 6capillary networks, 132, 143CFL

condition, 287, 298number, 287, 288

characteristiccurves, 282Lagrangian function, 81variables, 294

chol, 143cholinc, 172, 177clear, 32climatology, 75, 81coefficient

dissipation, 288Fourier, 287

communications, 257compass, 8complex, 8complexity, 29computational cost, 29

Cramuer rule, 134Gauss factorization, 139

cond, 149

Page 7: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

354 Index

condest, 149condition number, 149, 172, 270

of interpolation, 85conj, 9consistency, 209, 211, 216, 272conv, 21convergence, 26, 63, 216

Euler method, 208, 210finite differences, 272Gauss-Seidel method, 162iterative method, 157, 158Newton method, 48of interpolation, 84power method, 187Richardson method, 163

convergence order, 26cos, 32cputime, 30cross, 15cumtrapz, 115

Dahlquist barrier, 232, 233dblquad, 125deconv, 21deflation, 66, 67, 197demography, 108, 116, 126descent directions, 166det, 12, 141diag, 13diff, 23differential equation

ordinary, 201partial, 201

discrete Fourier series, 89discretization step, 205disp, 33dispersion, 287–289dissipation, 287, 288divergence operator, 256domain of dependence, 294dot, 15dot operation, 15, 18

economy, 131eig, 193eigenvalue, 16, 181

extremal, 184problem, 181

eigenvector, 16, 181

eigs, 195elastic

membrane, 272springs, 182

electrical circuits, 203, 239, 242electromagnetism, 108, 128end, 30eps, 5, 6equation

Burgers, 283convection-diffusion, 262, 266heat, 256, 274hyperbolic, 281Poisson, 255, 258pure advection, 281telegrapher’s, 257transport, 283, 292Van der Pol, 250wave, 256, 293

errora-posteriori estimate, 227a-priori estimate, 150absolute, 5, 26amplification, 288computational, 26dispersion, 288dissipation, 288, 289estimator, 27, 50, 60, 121

increment, 169interpolation, 81local truncation, 209, 286of quadrature, 113perturbation, 221relative, 5, 26roundoff, 5, 7, 25, 145, 147, 212truncation, 26, 209, 273, 276

etime, 30Euler formula, 8eval, 17exit, 31exp, 32exponent, 4extrapolation

Aitken, 62Richardson, 127

eye, 11

F, 5factorization

Page 8: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

Index 355

Cholesky, 143, 172, 188Gauss, 138, 142incomplete Cholesky, 172incomplete LU, 176LU, 135, 147, 188QR, 152

Fast Fourier Transform (FFT), 88,90

feval, 17fft, 90fftshift, 90Fibonacci sequence, 33, 40figure, 191finance, 75, 99, 101find, 45finite difference

backward, 110centered, 110forward, 109

fix, 306fixed point, 54

convergence, 59, 63iteration function, 55iterations, 55

floating-pointnumber, 3, 5operation, 29

for, 33format, 4Foucault pendulum, 254Fourier

discrete series, 89inverse fast transform, 90

fplot, 16, 94fsolve, 71, 207function, 16

derivative, 23graph, 16iteration, 55, 59, 62Lipschitz continuous, 205, 215primitive, 22shape, 265

function, 35funtool, 24fzero, 19, 70, 71

gallery, 174Gauss plane, 9Gershgorin circles, 190, 192, 198

gmres, 168grid, 17griddata, 104griddata3, 104griddatan, 104

help, 32, 37hold off, 191hold on, 191hydraulic network, 129hydraulics, 107, 111hydrogeology, 256

if, 30ifft, 90imag, 9image compression, 183, 195Inf, 6inline, 17int, 23interp1, 94interp1q, 94interp2, 103interp3, 103interpft, 91interpolant, 79

Hermite, 98Lagrange, 81trigonometric, 88

interpolationadaptive, 94composite, 93, 103convergence, 84error, 81Hermite piecewise, 98Lagrange, 79

Gauss nodes, 86nodes, 78piecewise linear, 93polynomial, 79rational, 79spline, 95stability, 84trigonometric, 79, 88

interurban railway network, 183, 186inv, 12investment fund, 73

Kronecker symbol, 80

Page 9: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

356 Index

LAPACK, 155Laplace operator, 255, 268law

Fourier, 257Kirchoff, 203Ohm, 203

least-squaresmethod, 99solution, 152, 154

Lebesgue costant, 84, 87lexicographic order, 268linear system, 129

banded, 172methods

direct, 134, 140, 171iterative, 135, 157, 171

overdetermined, 152underdetermined, 152

linearly independent system, 15, 188linspace, 18load, 32logarithmic scale, 27loglog, 27Lotka-Volterra equations, 202lu, 140luinc, 177

m-file, 34magic, 177mantissa, 4mass-lumping, 281matrix, 10

bandwidth, 154, 172, 173bidiagonal, 151companion, 71complex definite positive matrices,

142determinant, 12, 140diagonal, 12diagonally dominant, 142, 159, 192finite difference, 172full, 174Hankel, 174hermitian, 13, 142Hilbert, 147, 150, 168, 169, 174identity, 11ill conditioned, 150, 172inverse, 12iteration, 157, 163

Leslie, 183, 197lower triangular, 13mass, 280non-symmetric, 175norm of, 149orthogonal, 152pattern of, 140permutation, 145product, 11pseudoinverse, 153rank, 152Riemann, 175similar, 193singular value decomposition of,

152sparse, 140, 147, 151, 154, 175, 269spectrum, 184splitting of, 158square, 10strictly diagonal, 161sum, 11symmetric, 13symmetric positive definite, 142,

161transpose, 13tridiagonal, 151, 162, 260unitary, 153upper triangular, 13Vandermonde, 139, 174well conditioned, 150Wilkinson, 198

mesh, 270contour, 335meshgrid, 104, 335method

θ−, 275A-stable, 220Adams-Bashforth, 231Adams-Moulton, 231adaptive forward Euler, 218, 227adaptive Newton, 49adaptive Runge-Kutta, 230Aitken, 60backward Euler, 206, 279backward Euler/centered, 285Bairstow, 71Bi-CGStab, 168, 176bisection, 43, 55Bogacki and Shampine pair, 230

Page 10: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

Index 357

Broyden, 71conjugate gradient, 166consistent, 209, 273Crank-Nicolson, 212, 276, 279cyclic composite, 233Dekker-Brent, 70Dormand-Prince pair, 230dynamic Richardson, 162explicit, 206finite difference, 109, 259, 262, 267,

283finite element, 175, 263, 266, 292,

299forward Euler, 205, 217forward Euler/centered, 284forward Euler/decentered, 284,

298Gauss elimination, 137Gauss-Seidel, 161, 170GMRES, 168, 174gradient, 164Heun, 234, 253implicit, 206improved Euler, 234inverse power, 188Jacobi, 159, 170Krylov, 168, 177Lanczos, 168, 197Lax-Friedrichs, 284Lax-Wendroff, 284, 298Leap-Frog, 240, 296least-squares, 99modified Newton, 49Monte Carlo, 305multifrontal, 177multigrid, 177multistep, 215, 231Muller, 71Newmark, 240, 241, 295Newton, 47, 51, 60Newton-Horner, 68one-step, 206, 229power, 185power with shift, 189preconditioned conjugate gradient,

167, 172preconditioned gradient, 164predictor-corrector, 234QR, 193

quasi-Newton, 71relaxation, 161, 179, 324Runge-Kutta, 229, 234SOR, 179spectral, 299stationary Richardson, 162Steffensen, 62upwind, 284, 298

mkpp, 96model

Leontief, 131Lotka and Leslie, 183predator/prey, 59

multiplicity, 49multipliers, 138, 146

NaN, 7nargin, 36nargout, 36nchoosek, 305nodes

Chebyshev-Gauss, 86Chebyshev-Gauss-Lobatto, 86Gauss-Legendre-Lobatto, 120

normof matrix, 149energy, 163euclidean, 15

norm, 15normal equations, 102, 152not-a-knot condition, 96number

complex, 8floating-point, 5real, 3

numerical flux, 284numerical integration, 111

ode, 230ode113, 236ode15s, 233ode23, 230, 238ode23s, 251ode23tb, 230ode45, 230, 238ones, 14optics, 108, 128overflow, 6, 7

Page 11: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

358 Index

Peclet numberglobal, 262local, 262

partial derivative, 52, 255patch, 191path, 34pcg, 167pchip, 98pde, 272pdetool, 104, 175, 299phase plane, 237pivot elements, 138pivoting, 144

by row, 145complete, 322

plot, 18, 27Pn, 19poly, 39, 83polyder, 22, 84polyfit, 22, 81, 101polyint, 22polynomial, 20

characteristic, 181, 215division, 21, 67Lagrangian interpolation, 79Legendre, 119product, 21roots, 21Taylor, 23, 77

polyval, 20, 81population dynamics, 58, 182, 197,

202, 237Verhulst model, 59

ppval, 96preconditioner, 158, 162, 167

incomplete Cholesky factorization,172

incomplete LU factorization, 177predator/prey model, 43pretty, 304problem

Cauchy, 204convection-diffusion, 262, 266convection-dominated, 262Dirichlet, 258Neumann, 258Poisson, 172, 173, 267stiff, 248, 249

quad2dc, 126quad2dg, 125quadl, 120quadrature

nodes, 117weights, 117

quadrature formulae, 111adaptive Simpson, 121, 122composite midpoint, 112composite rectangle, 112composite Simpson, 115composite trapezoidal, 114degree of exactness, 113error, 114, 116Gauss, 125Gauss-Legendre, 119Gauss-Legendre-Lobatto, 173interpolatory, 117midpoint, 112Newton-Cotes, 125rectangle, 112Simpson, 116trapezoidal, 115

quit, 31quiver, 15quiver3, 15

rand, 30rank, 152Rayleigh quotient, 181real, 9realmax, 5realmin, 5region of absolute stability, 219, 232regression line, 101relaxation method, 179residual, 50, 150, 169

preconditioned, 158relative, 165

return, 35robotics, 77, 97rods system, 73root

multiple, 18, 21, 49simple, 18, 48

root condition, 215roots, 21, 71roundoff

error, 4, 5, 7, 25, 145, 147

Page 12: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

Index 359

unity, 5rpmak, 104rsmak, 104rule

Cramer, 134

Laplace, 12Runge’s function, 83, 87

save, 32

scalar product, 15scale

linear, 27, 28logarithmic, 27

semi-logarithmic, 27semi-discretization, 274, 279semilogy, 28shift, 189significant digits, 5

simple, 24, 325simpsonc, 116sin, 32Singular Value Decomposition, 102,

152, 153singular values, 153sparse, 140spdemos, 104spdiags, 140, 151

spectral methods, 173spectral radius, 157spectrometry, 130, 138spherical pendulum, 242spline, 94

error, 97natural cubic, 95not-a-knot, 96

spline, 96spy, 172, 269

sqrt, 32stability

of interpolation, 84absolute, 217, 219, 220asymptotic, 275

of Adams methods, 232region of absolute, 219, 253zero-, 214, 216

stencil, 269

stopping test, 49, 60, 169Sturm sequences, 71, 197

successive over-relaxation method,179

sum, 305svd, 154svds, 154syms, 24, 325system

hyperbolic, 294linear, 129nonlinear, 51triangular, 135underdetermined, 137

taylor, 23Taylor polynomial, 23, 77taylortool, 77theorem

Abel, 65Cauchy, 66Descartes, 65first mean-value, 23Lax-Ritchmyer equivalence, 216mean-value, 23of integration, 22Ostrowski, 57zeros of continuous functions, 43

thermodynamics, 201, 253, 257, 277,301

three-body problem, 246title, 191toolbox, 2, 20, 32trapz, 115tril, 13triu, 13

UMFPACK, 155, 156, 176underflow, 6

vander, 139varargin, 45variance, 106, 315vector

column, 10component of a, 15conjugate transpose, 15norm, 15product, 15row, 10

Page 13: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

360 Index

wavelet, 104wavelets, 104weak

formulation, 264solution, 282

while, 33wilkinson, 198

xlabel, 191

ylabel, 191

zero

multiple, 18

of a function, 18

simple, 18, 48

zeros, 11, 14

Page 14: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

Editorial Policy

§1. Textbooks on topics in the field of computational science and engineering willbe considered. They should be written for courses in CSE education. Both graduateand undergraduate textbooks will be published in TCSE. Multidisciplinary topics andmultidisciplinary teams of authors are especially welcome.

§3. Those considering a book which might be suitable for the series are strongly advisedto contact the publisher or the series editors at an early stage.

General Remarks

Careful preparation of manuscripts will help keep production time short and ensure asatisfactory appearance of the finished book.

The following terms and conditions hold:

Regarding free copies and royalties, the standard terms for Springer mathematics

Authors are entitled to purchase further copies of their book and other Springer booksfor their personal use, at a discount of 33,3 % directly from Springer-Verlag.

§2. Format: Only works in English will be considered. For evaluation purposes, manuscripts may be submitted in print or electronic form, in the latter case, prefer-ably as pdf- or zipped ps- files. Authors are requested to use the LaTeX style files

Electronic material can be included if appropriate. Please contact the publisher.

textbooks hold. Please write to [email protected] for details.

available from Springer at: http://www.springer.com/authors/book+ authors?SGWID=0-154102-12-417900-0 (for monographs, textbooks and similar)

Page 15: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

Series Editors

Timothy J. BarthNASA Ames Research CenterNAS DivisionMoffett Field, CA 94035, USA

Michael GriebelInstitut fur Numerische Simulationder Universitat BonnWegelerstr. 653115 Bonn, Germany

David E. Keyes

Risto M. Nieminen

Dirk RooseDepartment of Computer ScienceKatholieke Universiteit LeuvenCelestijnenlaan 200A3001 Leuven-Heverlee, Belgium

Tamar SchlickDepartment of Chemistry

New York University251 Mercer StreetNew York, NY 10012, USA

Mathematics Editorial IVTiergartenstrasse 17

Springer-Verlag

[email protected]

[email protected]@ins.uni-bonn.de

[email protected]

Mathematical and Computer Sciencesand EngineeringKing Abdullah University of Science

P.O. Box 55455Jeddah 21534, Saudi [email protected]

and

Department of Applied Physicsand Applied MathematicsColumbia University500 W. 120 th StreetNew York, NY 10027, [email protected]

Editor for Computational Science

69121 Heidelberg, [email protected]

and Technology

Martin Petersand Engineering at Springer:

Department of Applied PhysicsAalto University School of Scienceand Technology00076 Aalto, [email protected]

and Courant Instituteof Mathematical Sciences

Page 16: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

Texts in Computational Scienceand Engineering

1. H. P. Langtangen, Computational Partial Differential Equations. Numerical Methods and DiffpackProgramming. 2nd Edition

2.

3. H. P. Langtangen, Python Scripting for Computational Science. 3rd Edition

4. H. Gardner, G. Manduchi, Design Patterns for e-Science.

5. M. Griebel, S. Knapek, G. Zumbusch, Numerical Simulation in Molecular Dynamics.

For further information on these books please have a look at our mathematics catalogue at the followingURL: www.springer.com/series/5151

6. H. P. Langtangen, A Primer on Scientific Programming with Python.

Monographs in Computational Scienceand Engineering

1. J. Sundnes, G.T. Lines, X. Cai, B.F. Nielsen, K.-A. Mardal, A. Tveito, Computing the ElectricalActivity in the Heart.

For further information on this book, please have a look at our mathematics catalogue at the followingURL: www.springer.com/series/7417

Lecture Notesin Computational Scienceand Engineering

1. D. Funaro, Spectral Elements for Transport-Dominated Equations.

2. H. P. Langtangen, Computational Partial Differential Equations. Numerical Methods and DiffpackProgramming.

3. W. Hackbusch, G. Wittum (eds.), Multigrid Methods V.

4. P. Deuflhard, J. Hermans, B. Leimkuhler, A. E. Mark, S. Reich, R. D. Skeel (eds.), ComputationalMolecular Dynamics: Challenges, Methods, Ideas.

5. D. Kröner, M. Ohlberger, C. Rohde (eds.), An Introduction to Recent Developments in Theory andNumerics for Conservation Laws.

6. S. Turek, Efficient Solvers for Incompressible Flow Problems. An Algorithmic and ComputationalApproach.

7. R. von Schwerin, Multi Body System SIMulation. Numerical Methods, Algorithms, and Software.

A. Quarteroni, F. Saleri, P. Gervasio, Scientific Computing with MATLAB and Octave. 3rd Edition

Page 17: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

8. H.-J. Bungartz, F. Durst, C. Zenger (eds.), High Performance Scientific and Engineering Computing.

9. T. J. Barth, H. Deconinck (eds.), High-Order Methods for Computational Physics.

10. H. P. Langtangen, A. M. Bruaset, E. Quak (eds.), Advances in Software Tools for Scientific Computing.

11. B. Cockburn, G. E. Karniadakis, C.-W. Shu (eds.), Discontinuous Galerkin Methods. Theory,Computation and Applications.

12. U. van Rienen, Numerical Methods in Computational Electrodynamics. Linear Systems in PracticalApplications.

13. B. Engquist, L. Johnsson, M. Hammill, F. Short (eds.), Simulation and Visualization on the Grid.

14. E. Dick, K. Riemslagh, J. Vierendeels (eds.), Multigrid Methods VI.

15. A. Frommer, T. Lippert, B. Medeke, K. Schilling (eds.), Numerical Challenges in Lattice QuantumChromodynamics.

16. J. Lang, Adaptive Multilevel Solution of Nonlinear Parabolic PDE Systems. Theory, Algorithm, andApplications.

17. B. I. Wohlmuth, Discretization Methods and Iterative Solvers Based on Domain Decomposition.

18. U. van Rienen, M. Günther, D. Hecht (eds.), Scientific Computing in Electrical Engineering.

19. I. Babuška, P. G. Ciarlet, T. Miyoshi (eds.), Mathematical Modeling and Numerical Simulation inContinuum Mechanics.

20. T. J. Barth, T. Chan, R. Haimes (eds.), Multiscale and Multiresolution Methods. Theory andApplications.

21. M. Breuer, F. Durst, C. Zenger (eds.), High Performance Scientific and Engineering Computing.

22. K. Urban, Wavelets in Numerical Simulation. Problem Adapted Construction and Applications.

23. L. F. Pavarino, A. Toselli (eds.), Recent Developments in Domain Decomposition Methods.

24. T. Schlick, H. H. Gan (eds.), Computational Methods for Macromolecules: Challenges andApplications.

25. T. J. Barth, H. Deconinck (eds.), Error Estimation and Adaptive Discretization Methods inComputational Fluid Dynamics.

26. M. Griebel, M. A. Schweitzer (eds.), Meshfree Methods for Partial Differential Equations.

27. S. Müller, Adaptive Multiscale Schemes for Conservation Laws.

28. C. Carstensen, S. Funken, W. Hackbusch, R. H. W. Hoppe, P. Monk (eds.), ComputationalElectromagnetics.

29. M. A. Schweitzer, A Parallel Multilevel Partition of Unity Method for Elliptic Partial DifferentialEquations.

30. T. Biegler, O. Ghattas, M. Heinkenschloss, B. van Bloemen Waanders (eds.), Large-ScalePDE-Constrained Optimization.

31. M. Ainsworth, P. Davies, D. Duncan, P. Martin, B. Rynne (eds.), Topics in Computational WavePropagation. Direct and Inverse Problems.

32. H. Emmerich, B. Nestler, M. Schreckenberg (eds.), Interface and Transport Dynamics. Computa-tional Modelling.

33. H. P. Langtangen, A. Tveito (eds.), Advanced Topics in Computational Partial Differential Equations.Numerical Methods and Diffpack Programming.

Page 18: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

34. V. John, Large Eddy Simulation of Turbulent Incompressible Flows. Analytical and NumericalResults for a Class of LES Models.

35. E. Bänsch (ed.), Challenges in Scientific Computing - CISC 2002.

36. B. N. Khoromskij, G. Wittum, Numerical Solution of Elliptic Differential Equations by Reduction tothe Interface.

37. A. Iske, Multiresolution Methods in Scattered Data Modelling.

38. S.-I. Niculescu, K. Gu (eds.), Advances in Time-Delay Systems.

39. S. Attinger, P. Koumoutsakos (eds.), Multiscale Modelling and Simulation.

40. R. Kornhuber, R. Hoppe, J. Périaux, O. Pironneau, O. Wildlund, J. Xu (eds.), Domain Decomposition

41.

42. A. Schmidt, K.G. Siebert, Design of Adaptive Finite Element Software. The Finite Element ToolboxALBERTA.

43. M. Griebel, M.A. Schweitzer (eds.), Meshfree Methods for Partial Differential Equations II.

44. B. Engquist, P. Lötstedt, O. Runborg (eds.), Multiscale Methods in Science and Engineering.

45. P. Benner, V. Mehrmann, D.C. Sorensen (eds.), Dimension Reduction of Large-Scale Systems.

46. D. Kressner, Numerical Methods for General and Structured Eigenvalue Problems.

47. A. Boriçi, A. Frommer, B. Joó, A. Kennedy, B. Pendleton (eds.), QCD and Numerical Analysis III.

48. F. Graziani (ed.), Computational Methods in Transport.

49. B. Leimkuhler, C. Chipot, R. Elber, A. Laaksonen, A. Mark, T. Schlick, C. Schütte, R. Skeel (eds.), New Algorithms for Macromolecular Simulation.

Methods in Science and Engineering.

T. Plewa, T. Linde, V.G. Weirs (eds.), Adaptive Mesh Refinement – Theory and Applications.

50. M. Bücker, G. Corliss, P. Hovland, U. Naumann, B. Norris (eds.), Automatic Differentiation:Applications, Theory, and Implementations.

51. A.M. Bruaset, A. Tveito (eds.), Numerical Solution of Partial Differential Equations on ParallelComputers.

52. K.H. Hoffmann, A. Meyer (eds.), Parallel Algorithms and Cluster Computing.

53. H.-J. Bungartz, M. Schäfer (eds.), Fluid-Structure Interaction.

54. J. Behrens, Adaptive Atmospheric Modeling.

55. O. Widlund, D. Keyes (eds.), Domain Decomposition Methods in Science and Engineering XVI.

56. S. Kassinos, C. Langer, G. Iaccarino, P. Moin (eds.), Complex Effects in Large Eddy Simulations.

57. M. Griebel, M.A Schweitzer (eds.), Meshfree Methods for Partial Differential Equations III.

58. A.N. Gorban, B. Kégl, D.C. Wunsch, A. Zinovyev (eds.), Principal Manifolds for Data Visualizationand Dimension Reduction.

59. H. Ammari (ed.), Modeling and Computations in Electromagnetics: A Volume Dedicated toJean-Claude Nédélec.

60. U. Langer, M. Discacciati, D. Keyes, O. Widlund, W. Zulehner (eds.), Domain DecompositionMethods in Science and Engineering XVII.

61. T. Mathew, Domain Decomposition Methods for the Numerical Solution of Partial DifferentialEquations.

62. F. Graziani (ed.), Computational Methods in Transport: Verification and Validation.

Page 19: References - link.springer.com3A978-3-642-12430-3%2F1.pdf[Axe94] Axelsson O. (1994) Iterative Solution Methods. Cambridge Uni-versity Press, Cambridge. [BB96] Brassard G. and Bratley

63. M. Bebendorf, Hierarchical Matrices. A Means to Efficiently Solve Elliptic Boundary ValueProblems.

64. C.H. Bischof, H.M. Bücker, P. Hovland, U. Naumann, J. Utke (eds.), Advances in Automatic Differ-entiation.

For further information on these books please have a look at our mathematics catalogue at the followingURL: www.springer.com/series/3527

65. M. Griebel, M.A. Schweitzer (eds.), Meshfree Methods for Partial Differential Equations IV.

.

67. I.H. Tuncer, Ü. Gülcat, D.R. Emerson, K. Matsuno (eds.), Parallel Computational Fluid Dynamics.

68. S. Yip, T. Diaz de la Rubia (eds.), Scientific Modeling and Simulations

66. B. Engquist, P. Lötstedt, O. Runborg (eds.), Multiscale Modeling and Simulation in Science.

Layers.69. A. Hegarty, N. Kopteva, E. O’Riordan, M. Stynes (eds.), BAIL 2008 – Boundary and Interior

70. M. Bercovier, M.J. Gander, R. Kornhuber, O. Widlund (eds.), Domain Decomposition Methods in

72. M. Peters (ed.), Computational Fluid Dynamics for Sport Simulation.

71. B. Koren, C. Vuik (eds.), Advanced Computational Methods in Science and Engineering.

Science and Engineering XVIII.