22
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. [Att11] Attaway S. (2011) MATLAB: A Practical Introduction to Pro- gramming and Problem Solving, 2nd edition. Butterworth- Heinemann. Elsevier, Waltham, MA. [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. [BDF + 10] Bomze I., Demyanov V., Fletcher R., Terlaky T., and Polik I. (2010) Nonlinear Optimization, volume 1989 of Lecture Notes in Mathematics. Springer. Lectures given at the C.I.M.E. Summer School held in Cetraro, July 2007. Edited by G. Di Pillo and F. Schoen. [Bec71] Beckmann P. (1971) A history of π. 2nd edtion. The Golem Press, Boulder, Colorado. [Ber82] Bertsekas D. (1982) Constrained optimization and Lagrange multipliers methods. Academic Press, Inc., San Diego, CA. [BGL05] Benzi M., Golub G., and Liesen J. (2005) Numerical solution of saddle point problems. Acta Numer. 14: 1–137. [BM92] Bernardi C. and Maday Y. (1992) Approximations Spectrales des Probl´ emes aux Limites Elliptiques. Springer-Verlag, Paris. [Bom10] Bomze M. (2010) Global Optimization: A Quadratic Program- ming Perspective, volume 1989 of Lecture Notes in Mathematics, chapter 3, pages 1–53. Springer. Lectures given at the C.I.M.E. A. Quarteroni et al., Scientific Computing with MATLAB and Octave, Texts in Computational Science and Engineering 2, DOI 10.1007/978-3-642-45367-0, © Springer-Verlag Berlin Heidelberg 2014 429

References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

  • Upload
    others

  • View
    6

  • Download
    0

Embed Size (px)

Citation preview

Page 1: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

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,New York.

[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.

[Att11] Attaway S. (2011) MATLAB: A Practical Introduction to Pro-gramming and Problem Solving, 2nd edition. Butterworth-Heinemann. Elsevier, Waltham, MA.

[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.

[BDF+10] Bomze I., Demyanov V., Fletcher R., Terlaky T., and Polik I.(2010) Nonlinear Optimization, volume 1989 of Lecture Notes inMathematics. Springer. Lectures given at the C.I.M.E. SummerSchool held in Cetraro, July 2007. Edited by G. Di Pillo and F.Schoen.

[Bec71] Beckmann P. (1971) A history of π. 2nd edtion. The GolemPress, Boulder, Colorado.

[Ber82] Bertsekas D. (1982) Constrained optimization and Lagrangemultipliers methods. Academic Press, Inc., San Diego, CA.

[BGL05] Benzi M., Golub G., and Liesen J. (2005) Numerical solution ofsaddle point problems. Acta Numer. 14: 1–137.

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

[Bom10] Bomze M. (2010) Global Optimization: A Quadratic Program-ming Perspective, volume 1989 of Lecture Notes in Mathematics,chapter 3, pages 1–53. Springer. Lectures given at the C.I.M.E.

A. Quarteroni et al., Scientific Computing with MATLAB and Octave,Texts in Computational Science and Engineering 2,DOI 10.1007/978-3-642-45367-0, © Springer-Verlag Berlin Heidelberg 2014

429

Page 2: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

430 References

Summer School held in Cetraro, July 2007. Edited by G. DiPillo and F. Schoen.

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

[Bre02] Brent R. (2002) Algorithms for minimization without deriva-tives. Dover Publications Inc., Mineola, NY. Reprint of the1973 original [Prentice-Hall, Inc., Englewood Cliffs, NJ].

[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.

[BT04] Berrut J.-P. and Trefethen L.-N. (2004) Barycentric LagrangeInterpolation. SIAM Review 46(3): 501–517.

[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 Geometriesand Applications to Fluid Dynamics. Scientific Computation.Springer, Heidelberg.

[CL96a] Coleman T. and Li Y. (1996) An interior trust region approachfor nonlinear minimization subject to bounds. SIAM J. Optim.6(2): 418–445.

[CL96b] Coleman T. and Li Y. (1996) A reflective Newton method forminimizing a quadratic function subject to bounds on some ofthe variables. SIAM J. Optim. 6(4): 1040–1058.

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

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

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

[DD99] Davis T. and Duff I. (1999) A combined unifrontal/multifrontalmethod for unsymmetric sparse matrices. ACM Transactionson Mathematical 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.Monographs on Numerical Analysis. The Clarendon Press Ox-ford University Press, New York.

Page 3: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

References 431

[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.

[dV89] der Vorst H. V. (1989) High Performance Preconditioning.SIAM J. 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.

[Fle10] Fletcher R. (2010) The Sequential Quadratic ProgrammingMethod, volume 1989 of Lecture Notes in Mathematics, chap-ter 3, pages 165–214. Springer. Lectures given at the C.I.M.E.Summer School held in Cetraro, July 2007. Edited by G. DiPillo and F. Schoen.

[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. 3rdedition. The John Hopkins Univ. Press, Baltimore, MD.

[GM72] Gill P. and Murray W. (1972) Quasi-Newton methods for un-constrained optimization. J. Inst. Math. Appl. 9: 91–108.

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

[GOT05] Gould N., Orban D., and Toint P. (2005) Numerical methods forlarge-scale nonlinear optimization. Acta Numerica 14: 299–361.

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

[Hen79] Henrici P. (1979) Barycentric formulas for interpolating trigono-metric polynomials and their conjugate. Numer. Math. 33: 225–234.

Page 4: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

432 References

[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 edi-tion. SIAM Publications, Philadelphia, PA.

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

[Hig04] Higham N.-J. (2004) The numerical stability of barycentric la-grange interpolation. IMA J. Numer. Anal. 24(4): 547–556.

[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 Meth-ods. Wiley, New York.

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

[JS96] Jr J. D. and Schnabel R. (1996) Numerical methods for un-constrained optimization and nonlinear equations, volume 16 ofClassics in Applied Mathematics. Society for Industrial andApplied Mathematics (SIAM), Philadelphia, PA.

[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.

[KW08] Kalos M. and Whitlock P. (2008) Monte Carlo Methods, 2nded. John Wiley & Sons.

[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.

[LRWW99] Lagarias J., Reeds J., Wright M., and Wright P. (1999) Con-vergence properties of the Nelder-Mead simplex method in lowdimensions. SIAM J. Optim. 9(1): 112–147.

[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,New York.

[Mun07] Munson T. (2007) Mesh shape-quality optimization using theinverse mean-ratio metric. Math. Program. 110(3, Ser. A): 561–590.

Page 5: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

References 433

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

[NM65] Nelder J. and Mead R. (1965) A simplex method for functionminimization. The Computer Journal 7: 308–313.

[Noc92] Nocedal J. (1992) Theory of algorithms for unconstrained opti-mization. In Acta numerica, 1992, pages 199–242. CambridgeUniv. Press, Cambridge.

[NW06] Nocedal J. and Wright S. (2006) Numerical optimization.Springer Series in Operations Research and Financial Engineer-ing. Springer, New York, second edition.

[OR70] Ortega J. and Rheinboldt W. (1970) Iterative Solution ofNonlinear Equations in Several Variables. Academic Press,New York, 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.

[Pap87] Papoulis A. (1987) Probability, Random Variables, and Stochas-tic Processes. McGraw-Hill, New York.

[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 Au-tomatic Integration. Springer Series in Computational Mathe-matics. 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.

[Qua13] Quarteroni A. (2013) Numerical Models for Differential Prob-lems. Series: MS&A , Vol. 2, 2nd edition. Springer-Verlag, Mi-lano.

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

[Ros61] Rosenbrock H. (1960/1961) An automatic method for findingthe greatest or least value of a function. Comput. J. 3: 175–184.

[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.2nd edition. SIAM publications, Philadelphia, PA.

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

Page 6: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

434 References

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

[SR97] Shampine L. and Reichelt M. (1997) The MATLAB ODE suite.SIAM J. Sci. Comput. 18(1): 1–22.

[SSB85] Shultz G., Schnabel R., and Byrd R. (1985) A family of trust-region-based algorithms for unconstrained minimization withstrong global convergence properties. SIAM J. Numer. Anal.22(1): 47–67.

[Ste83] Steihaug T. (1983) The conjugate gradient method and trust re-gions in large scale optimization. SIAM J. Numer. Anal. 20(3):626–637.

[Str07] Stratton J. (2007) Electromagnetic Theory. Wiley-IEEE Press,Hoboken, New Jersey.

[SY06] Sun W. and Yuan Y.-X. (2006) Optimization theory and meth-ods, volume 1 of Springer Optimization and Its Applications.Springer, New York. Nonlinear programming.

[Ter10] Terlaky T. (2010) Interior Point Methods for Nonlinear Opti-mization, volume 1989 of Lecture Notes in Mathematics, chap-ter 3, pages 215–276. Springer. Lectures given at the C.I.M.E.Summer School held in Cetraro, July 2007. Edited by G. DiPillo and F. Schoen.

[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.

[VGCN05] Valorani M., Goussis D., Creta F., and Najm H. (2005) Higherorder corrections in the approximation of low-dimensional man-ifolds and the construction of simplified problems with the CSPmethod. J. Comput. Phys. 209(2): 754–786.

[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 OxfordUniversity Press, New York.

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

Page 7: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

Index

abs, 8adaptive

Euler, 287interpolation, 100quadrature formulae, 127Runge-Kutta, 301

algorithm, 28backward substitutions, 144forward substitutions, 144Gauss, 145Horner, 68LU factorization, 145Strassen, 29synthetic division, 68Thomas, 163, 334Winograd and Coppersmith, 29

aliasing, 97angle, 9anonymous function, 16ans, 31arpackc, 210artificial

diffusion flux, 359viscosity, 340, 359

average, 111axis, 203

backtracking strategy, 233backward difference formula, 302barycentric interpolation, 90basis, 4bicgstab, 179

boundary conditions, 332, 374Dirichlet, 332Neumann, 332, 374

boundary-value problem, 186, 329Butcher array, 300, 301

cancellation, 7Cauchy point, 245CFL

condition, 361, 372number, 361, 362

characteristiccurves, 356variables, 368

chol, 151clear, 32coefficient

amplification, 362dispersion, 362, 363dissipation, 362, 363Fourier, 361

compass, 9complex, 8complexity, 29computational cost, 28

Cramuer rule, 142LU factorization, 148

cond, 161condest, 161condition number, 161, 183, 344

of interpolation, 87conditions

A. Quarteroni et al., Scientific Computing with MATLAB and Octave,Texts in Computational Science and Engineering 2,DOI 10.1007/978-3-642-45367-0, © Springer-Verlag Berlin Heidelberg 2014

435

Page 8: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

436 Index

Karush–Kuhn–Tucker, 256Lagrange, 257LICQ, 256optimality, 218, 256Wolfe, 232strong, 232

conj, 9consistency, 279, 281, 286, 347constraint

active, 254equality, 254inequality, 254

contour lines, 226, 255, 405, 407, 409conv, 21convergence, 26, 65, 286

Euler method, 278, 280factorasymptotic, 60

finite differences, 347Gauss-Seidel method, 173global, 227iterative method, 168, 169Jacobi method, 173local, 227of interpolation, 86order, 26Newton method, 49quadratic, 227secant method, 52super-linear, 52, 222, 238

power method, 199Richardson method, 174

cos, 32cputime, 30cross, 15cumtrapz, 121

Dahlquist barrier, 303, 304dblquad, 134deconv, 21deflation, 68, 210

criterion, 69descent direction, 177, 228

conjugate gradient, 229gradient, 229Newton, 229quasi-Newton, 229

det, 12, 149diag, 13

diff, 24differential equation

ordinary, 271partial, 271

digitsignificant, 5

discretization step, 275disp, 33dispersion, 361–363dissipation, 361, 362domain of dependence, 368dot, 15dot operation, 15, 18

eig, 206eigenvalue, 16, 193

extremal, 197problem, 193

eigenvector, 16, 193eigs, 208end, 30eps, 5, 6equation

Burgers, 357convection-diffusion, 336, 340heat, 330, 348hyperbolic, 355Poisson, 329, 332pure advection, 355telegrapher’s, 331transport, 357, 366Van der Pol, 322wave, 330, 367

equationsnormal, 107

errora-priori estimate, 162absolute, 5, 26computational, 26estimator, 27, 50, 62, 127a-posteriori, 299increment, 180

interpolation, 83local truncation, 279, 360of quadrature, 119perturbation, 291relative, 5, 26roundoff, 4, 5, 8, 26, 155, 158, 282truncation, 26, 279, 347, 350

Page 9: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

Index 437

etime, 30exit, 31exp, 32expectation, 131exponent, 4extrapolation

Aitken, 64Richardson, 135

eye, 11

F, 5factorization

Cholesky, 151, 183, 201Gauss LU, 146incomplete Cholesky, 183incomplete LU, 187LU, 143, 146, 150, 158, 201QR, 55, 164, 239

Fast Fourier Transform, 93, 95inverse, 96

FFT, 93, 95fft, 95fftshift, 96Fibonacci sequence, 34, 40figure, 203fill-in, 157find, 45finite difference

backward, 116centered, 116forward, 115

fix, 379fixed point, 57

convergence, 61, 65iteration function, 57iterations, 57

floating-pointnumber, 3, 4operation, 28system, 5

fluxnumerical, 358

fminbnd, 223fminsearch, 225fminunc, 239, 247for, 34format, 4formula

Euler, 8

fplot, 17, 99fsolve, 73, 277function, 16, 17, 35

convex, 218cost, 213derivative, 23graph of, 17interpolant, 81iteration, 57, 62, 64Lagrange characteristic, 83Lagrangian, 256augmented, 264

Lipschitz continuous, 218, 241Lipschitz-continuous, 275, 285objective, 213penalty, 259primitive, 23Runge’s, 85, 89shape, 339strongly convex, 255user-defined, 17, 35

function, 35function handle, 16, 18funtool, 24fzero, 20fzero, 19, 72, 73

gallery, 185Gauss plane, 10Gershgorin circles, 203, 204, 211gmres, 179golden ratio, 219gradient, 217grid, 17griddata, 109griddata3, 109griddatan, 109

help, 32, 37hold off, 203hold on, 203

ichol, 183if, 30ifft, 96ilu, 187imag, 9image, 208imread, 208

Page 10: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

438 Index

Inf, 6int, 24interp1, 99interp1q, 99interp2, 109interp3, 109interpft, 96interpolant, 81

Hermite, 104Lagrange, 83trigonometric, 93

interpolationadaptive, 100barycentric formula, 90composite, 98, 109convergence, 86error, 83Hermite piecewise, 104Lagrange, 81Gauss nodes, 87, 88

nodes, 80piecewise linear, 98, 99polynomial, 81rational, 81spline, 100stability, 86trigonometric, 81, 93

inv, 12

Kronecker symbol, 82

Lagrangemultipliers, 243, 256

LAPACK, 167Laplace operator, 329law

Fourier, 331Kirchoff, 273Ohm, 273

least-squaresmethod, 104solution, 164, 166

Lebesgue constant, 87, 89lexicographic order, 342linear system, 137

banded, 183direct methods, 149methodsdirect, 143, 182

iterative, 143, 168, 182overdetermined, 163underdetermined, 163

linearly independent system, 14, 201linspace, 18load, 32loglog, 27Lotka-Volterra equations, 272lu, 149

m-file, 34machine epsilon, 5magic, 188mantissa, 4mass-lumping, 355matlabFunction, 85matrix, 10

bandwidth of, 152, 183, 184bidiagonal, 162companion, 73complex definite positive, 151determinant of, 12, 149diagonal, 13diagonally dominant, 150, 171, 205finite difference, 183full, 185Hankel, 185hermitian, 14, 151Hessian, 217Hilbert, 159, 161, 179, 180, 185identity, 11ill conditioned, 161, 183inverse, 12iteration, 169, 174Jacobian, 322Leslie, 195, 210lower triangular, 13mass, 354non-symmetric, 186norm of, 161orthogonal, 164pattern of, 152permutation, 154product, 11pseudoinverse, 165rank of, 164Riemann, 186semi positive definite, 151similar, 206

Page 11: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

Index 439

singular value decomposition of,164

sparse, 152, 156, 163, 166, 186, 344spectrum, 196splitting of, 169square, 10square root of, 400strictly diagonal dominant, 173sum, 11symmetric, 14symmetric positive definite, 151,

173transpose of, 14tridiagonal, 162, 173, 334unitary, 165upper triangular, 13Vandermonde, 147, 185well conditioned, 161Wilkinson, 211

mesh, 344contour, 417meshgrid, 109, 417method

θ−, 349A-stable, 289Adams-Bashforth, 302Adams-Moulton, 302adaptive Newton, 49Aitken, 63backward Euler/centered, 359Bairstow, 73barrier, 268BFGS, 238Bi-CGStab, 179, 187, 258bisection, 43, 58Bogacki and Shampine pair, 301Broyden, 55, 73conjugate gradient, 177, 231consistent, 279, 347Crank-Nicolson, 282, 350, 353cyclic composite, 304deflation, 68Dekker-Brent, 72derivative free, 218descent, 218, 228, 235Dormand-Prince pair, 301Euleradaptive forward, 287backward, 276, 353

forward, 275, 287forward adaptive, 297improved, 305

explicit, 276finite difference, 115, 239, 333, 336,

341, 357finite element, 186, 337, 340, 366,

373forward Euler/centered, 358forward Euler/decentered, 358,

372Gauss Elimination, 147Gauss-Newton, 249damped, 250

Gauss-Seidel, 172, 181GMRES, 179, 185, 258golden section, 219gradient, 175, 231Heun, 305, 306, 327implicit, 276inverse power, 201iterative, 56Jacobi, 170, 181Krylov, 179, 188Lanczos, 179, 210Lax-Friedrichs, 358Lax-Wendroff, 358, 372Leap-Frog, 311, 370least-squares, 104Levenberg-Marquardt, 252line search, 218, 228cubic, 234quadratic, 234

modified Newton, 49Monte Carlo, 131, 379multifrontal, 188multigrid, 188multistep, 285, 302Muller, 73Newmark, 311, 312, 369Newton, 47, 52, 62Newton-Horner, 70one-step, 276, 300power, 197power with shift, 201preconditioned conjugate gradient,

178, 183preconditioned gradient, 175predictor-corrector, 305

Page 12: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

440 Index

QR, 206quadratic interpolation, 222quasi-Newton, 55, 73relaxation, 173, 190, 398Richardsondynamic, 174stationary, 174

Runge-Kutta, 300, 305adaptive, 301

secant, 52, 54SOR, 190spectral, 184, 374Steffensen, 64successive over-relaxation, 190trust region, 218, 242, 252upwind, 358, 372

minimizerglobal, 217constrained, 254

local, 217constrained, 254

mkpp, 102model

Leontief, 139Lotka and Leslie, 195

multipliers, 146, 155Lagrange, 243

NaN, 7nargin, 37nargout, 37nchoosek, 379Newton

divided differences, 222nodes

Chebyshev-Gauss, 88Chebyshev-Gauss-Lobatto, 87Gauss-Legendre-Lobatto, 126

normof matrix, 161energy, 174euclidean, 15Frobenius, 215

norm, 15normal equations, 164number

complex, 8floating-point, 4normalized, 3

real, 3

ode, 301ode113, 307ode15s, 304ode15s, 322ode23, 301, 309ode23s, 322, 323, 325ode23tb, 301ode45, 301, 309ones, 14operator

boolean, 32, 33divergence, 330Laplace, 329, 342logical, 32, 33relational, 32short-circuit, 33

optimset, 223order

of convergence, 26overflow, 6, 7

Peclet numberglobal, 336local, 336

partial derivative, 53, 329patch, 203path, 34pcg, 179pchip, 104pde, 346pdetool, 109, 186, 373phase plane, 308pivot, 156

elements, 146pivoting, 154

by row, 154complete, 396total, 156

plot, 18, 27Pn, 19point

admissible, 254critical, 217regular, 217stationary, 217

poly, 39, 85polyder, 22, 86

Page 13: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

Index 441

polyfit, 22, 83, 106polyint, 22polynomial, 20

characteristic, 193, 285division of, 21, 69Lagrangian interpolation, 81Legendre, 125product of, 21roots of, 21Taylor, 23, 79

polyval, 83ppval, 102preconditioner, 169, 174, 178

incomplete Cholesky factorization,183

incomplete LU, 187pretty, 378problem

boundary value, 329Cauchy, 274convection-diffusion, 336, 340convection-dominated, 336Dirichlet, 332least squaresnonlinear, 248

Neumann, 332Poisson, 183, 184, 341stiff, 319

productinner, 15scalar, 15

quadl, 126quadratic programming, 257quadrature

nodes, 123weights, 123

quadrature formulae, 117adaptive Simpson, 127, 128composite midpoint, 118composite rectangle, 118composite Simpson, 121composite trapezoidal, 120degree of exactness, 119error, 120, 122Gauss, 133Gauss-Legendre, 125Gauss-Legendre-Lobatto, 184interpolatory, 123

midpoint, 118Newton-Cotes, 133rectangle, 118Simpson, 122trapezoidal, 121

quit, 31quiver, 15quiver3, 15

rand, 30rank, 164Rayleigh quotient, 193real, 9realmax, 6realmin, 6region of absolute stability, 289, 303regression line, 106relaxation method, 190residual, 50, 162, 180, 231

preconditioned, 170relative, 176

return, 36root

multiple, 19, 21, 49simple, 19, 48

root condition, 285roots, 21, 73roundoff

error, 4, 5, 8, 26, 155, 158unity, 5

rpmak, 109rsmak, 109rule

Armijo, 232Cramer, 142Laplace, 12

save, 32scale

linear, 27, 28logarithmic, 27semi-logarithmic, 28

semi-discretization, 348, 353semilogy, 28Sequential Quadratic Programming,

268series

discrete Fourier, 94shift, 201

Page 14: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

442 Index

simple, 24, 399simplex, 223sin, 32Singular Value Decomposition, 108,

164, 165singular values, 165sparse, 153spdemos, 109spdiags, 153, 163spectral radius, 169spectrometry, 138spline, 100

error, 103natural cubic, 100not-a-knot condition, 102

spline, 102spy, 152, 183, 344sqrt, 32stability

of interpolation, 86absolute, 287, 289, 290asymptotic, 349of Adams methods, 303region of absolute, 289, 327zero-, 284, 286

statistical mean, 131stencil, 343step adaptivity, 297steplength, 275stopping test, 50, 62, 180Sturm sequences, 73, 210sum, 379svd, 165svds, 165syms, 24, 399system

hyperbolic, 368linear, 137nonlinear equations, 52triangular, 144underdetermined, 145

taylor, 24taylortool, 79theorem

Abel, 67Cauchy, 68

Descartes, 67first mean-value, 23Lax-Richtmyer equivalence, 286mean-value, 23of integration, 22Ostrowski, 59zeros of continuous functions, 43

time-step, 275title, 203toolbox, 2, 32trapz, 121tril, 13triu, 13

UMFPACK, 166, 167, 187underflow, 6

vander, 147varargin, 45variance, 111, 389vector

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

viscosity, 340, 359

wavelet, 109wavelets, 109weak

formulation, 338solution, 357

while, 34wilkinson, 211workspace

workspace base, 32

xlabel, 203

ylabel, 203

zeromultiple, 19of a function, 19simple, 19, 48

zeros, 11, 14

Page 15: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

Editorial Policy

1. Textbooks on topics in the field of computational science and engineeringwill be considered. They should be written for courses in CSE education.Both graduate and undergraduate textbooks will be published in TCSE.Multidisciplinary topics and multidisciplinary teams of authors are espe-cially welcome.

2. Format: Only works in English will be considered. For evaluation pur-poses, manuscripts may be submitted in print or electronic form, in the lattercase, preferably as pdf- or zipped ps-files. Authors are requested to use theLaTeX style files available from Springer at: http://www.springer.com/authors/book+authors/helpdesk?SGWID=0-1723113-12-971304-0 (formonographs, textbooks and similar)Electronic material can be included if appropriate. Please contact the pub-lisher.

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

General Remarks

Careful preparation of manuscripts will help keep production time short andensure a satisfactory appearance of the finished book.

The following terms and conditions hold:

Regarding free copies and royalties, the standard terms for Springer mathemat-ics textbooks hold. Please write to [email protected] for details.

Authors are entitled to purchase further copies of their book and other Springerbooks for their personal use, at a discount of 33.3% directly from Springer-Verlag.

Page 16: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

Series Editors

Timothy J. BarthNASA Ames Research CenterNAS DivisionMoffett Field, CA 94035, [email protected]

Michael GriebelInstitut fur Numerische Simulationder Universitat BonnWegelerstr. 653115 Bonn, [email protected]

David E. KeyesMathematical and Computer Sciencesand EngineeringKing Abdullah University of Scienceand TechnologyP.O. Box 55455Jeddah 21534, Saudi [email protected]

and

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

Risto M. NieminenDepartment of Applied PhysicsAalto University School of Scienceand Technology00076 Aalto, [email protected]

Dirk RooseDepartment of Computer ScienceKatholieke Universiteit LeuvenCelestijnenlaan 200A3001 Leuven-Heverlee, [email protected]

Tamar SchlickDepartment of Chemistryand Courant Instituteof Mathematical SciencesNew York University251 Mercer StreetNew York, NY 10012, [email protected]

Editor for Computational Scienceand Engineering at Springer:Martin PetersSpringer-VerlagMathematics Editorial IVTiergartenstrasse 1769121 Heidelberg, [email protected]

Page 17: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

Texts in Computational Science and Engineering

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

2. A. Quarteroni, F. Saleri, P. Gervasio, Scientific Computing withMATLAB and Octave, 4th Edition.

3. H. P. Langtangen, Python Scripting for Computational Science, 3rdEdition.

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

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

6. H. P. Langtangen, A Primer on Scientific Programming with Python,3rd Edition.

7. A. Tveito, H. P. Langtangen, B. F. Nielsen, X. Cai, Elements ofScientific Computing.

8. B. Gustafsson, Fundamentals of Scientific Computing.

9. M. Bader, Space-Filling Curves.

10.M.G. Larson, F. Bengzon, The Finite Element Method: Theory,Implementation, and Practice.

For further information on these books please have a look at our mathematics

catalogue at the following URL: www.springer.com/series/5151

Monographs in Computational Science and Engineer-ing

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

For further information on this book, please have a look at our mathematics

catalogue at the following URL: www.springer.com/series/7417

Lecture Notes in Computational Science and Engi-neering

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

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

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

Page 18: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

4. P. Deuflhard, J. Hermans, B. Leimkuhler, A.E. Mark, S. Reich, R.D.Skeel (eds.), Computational Molecular Dynamics: Challenges, Meth-ods, Ideas.

5. D. Kroner, M. Ohlberger, C. Rohde (eds.), An Introduction to Re-cent Developments in Theory and Numerics for Conservation Laws.

6. S. Turek, Efficient Solvers for Incompressible Flow Problems. AnAlgorithmic and Computational Approach.

7. R. von Schwerin,Multi Body System SIMulation. Numerical Meth-ods, Algorithms, and Software.

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

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

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

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

12. U. van Rienen, Numerical Methods in Computational Electrodynam-ics. Linear Systems in Practical Applications.

13. B. Engquist, L. Johnsson, M. Hammill, F. Short (eds.), Simulationand 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.), NumericalChallenges in Lattice Quantum Chromodynamics.

16. J. Lang, Adaptive Multilevel Solution of Nonlinear Parabolic PDESystems. Theory, Algorithm, and Applications.

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

18. U. van Rienen, M. Gunther, D. Hecht (eds.), Scientific Computingin Electrical Engineering.

19. I. Babuska, P.G. Ciarlet, T. Miyoshi (eds.), Mathematical Modelingand Numerical Simulation in Continuum Mechanics.

20. T.J. Barth, T. Chan, R. Haimes (eds.), Multiscale and Multiresolu-tion Methods. Theory and Applications.

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

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

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

Page 19: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

24. T. Schlick, H.H. Gan (eds.), Computational Methods for Macro-molecules: Challenges and Applications.

25. T.J. Barth, H. Deconinck (eds.), Error Estimation and AdaptiveDiscretization Methods in Computational Fluid Dynamics.

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

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

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

29. M.A. Schweitzer, A Parallel Multilevel Partition of Unity Methodfor Elliptic Partial Differential Equations.

30. T. Biegler, O. Ghattas, M. Heinkenschloss, B. van Bloemen Waan-ders (eds.), Large-Scale PDE-Constrained Optimization.

31. M. Ainsworth, P. Davies, D. Duncan, P. Martin, B. Rynne (eds.),Topics in Computational Wave Propagation. Direct and InverseProblems.

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

33. H.P. Langtangen, A. Tveito (eds.), Advanced Topics in Computa-tional Partial Differential Equations. Numerical Methods and Diff-pack Programming.

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

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

36. B.N. Khoromskij, G. Wittum, Numerical Solution of Elliptic Dif-ferential Equations by Reduction to the 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 Sim-ulation.

40. R. Kornhuber, R. Hoppe, J. Periaux, O. Pironneau, O. Wildlund,J. Xu (eds.), Domain Decomposition Methods in Science and Engi-neering.

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

42. A. Schmidt, K.G. Siebert, Design of Adaptive Finite Element Soft-ware. The Finite Element Toolbox ALBERTA.

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

Page 20: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

44. B. Engquist, P. Lotstedt, O. Runborg (eds.), Multiscale Methods inScience and Engineering.

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

46. D. Kressner, Numerical Methods for General and Structured Eigen-value Problems.

47. A. Borici, A. Frommer, B. Joo, 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. Schutte, R. Skeel (eds.), New Algorithms for Macro-molecular Simulation.

50. M. Bucker, G. Corliss, P. Hovland, U. Naumann, B. Norris (eds.),Automatic Differentiation: Applications, Theory, and Implementa-tions.

51. A.M. Bruaset, A. Tveito (eds.), Numerical Solution of Partial Dif-ferential Equations on Parallel Computers.

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

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

54. J. Behrens, Adaptive Atmospheric Modeling.

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

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

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

58. A.N. Gorban, B. Kegl, D.C. Wunsch, A. Zinovyev (eds.), PrincipalManifolds for Data Visualization and Dimension Reduction.

59. H. Ammari (ed.), Modeling and Computations in Electromagnetics:A Volume Dedicated to Jean-Claude Nedelec.

60. U. Langer, M. Discacciati, D. Keyes, O. Widlund, W. Zulehner(eds.), Domain Decomposition Methods in Science and EngineeringXVII.

61. T. Mathew, Domain Decomposition Methods for the Numerical So-lution of Partial Differential Equations.

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

63. M. Bebendorf, Hierarchical Matrices. A Means to Efficiently SolveElliptic Boundary Value Problems.

Page 21: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

64. C.H. Bischof, H.M. Bucker, P. Hovland, U. Naumann, J. Utke (eds.),Advances in Automatic Differentiation.

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

66. B. Engquist, P. Lotstedt, O. Runborg (eds.), Multiscale Modelingand Simulation in Science.

67. I.H. Tuncer, U. Gulcat, D.R. Emerson, K. Matsuno (eds.), ParallelComputational Fluid Dynamics 2007.

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

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

70. M. Bercovier, M.J. Gander, R. Kornhuber, O. Widlund (eds.), Do-main Decomposition Methods in Science and Engineering XVIII.

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

72. M. Peters (ed.), Computational Fluid Dynamics for Sport Simula-tion.

73. H.-J. Bungartz, M. Mehl, M. Schafer (eds.), Fluid Structure Inter-action II – Modelling, Simulation, Optimization.

74. D. Tromeur-Dervout, G. Brenner, D.R. Emerson, J. Erhel (eds.),Parallel Computational Fluid Dynamics 2008.

75. A.N. Gorban, D. Roose (eds.), Coping with Complexity: Model Re-duction and Data Analysis.

76. J.S. Hesthaven, E.M. Rønquist (eds.), Spectral and High OrderMethods for Partial Differential Equations.

77. M. Holtz, Sparse Grid Quadrature in High Dimensions with Appli-cations in Finance and Insurance.

78. Y. Huang, R. Kornhuber, O. Widlund, J. Xu (eds.), Domain De-composition Methods in Science and Engineering XIX.

79. M. Griebel, M.A. Schweitzer (eds.), Meshfree Methods for PartialDifferential Equations V.

80. P.H. Lauritzen, C. Jablonowski, M.A. Taylor, R.D. Nair (eds.), Nu-merical Techniques for Global Atmospheric Models.

81. C. Clavero, J.L. Gracia, F. Lisbona (eds.), BAIL 2010 – Boundaryand Interior Layers, Computational and Asymptotic Methods.

82. B. Engquist, O. Runborg, Y.R. Tsai (eds.), Numerical Analysis andMultiscale Computations.

83. I.G. Graham, T.Y. Hou, O. Lakkis, R. Scheichl (eds.), NumericalAnalysis of Multiscale Problems.

Page 22: References - link.springer.com3A978-3-642-45367-0%2F… · 430 References Summer School held in Cetraro, July 2007. Edited by G. Di PilloandF.Schoen. [Bra97] Braess D. (1997) Finite

84. A. Logg, K.-A. Mardal, G. Wells (eds.), Automated Solution of Dif-ferential Equations by the Finite Element Method.

85. J. Blowey, M. Jensen (eds.), Frontiers in Numerical Analysis -Durham 2010.

86. O. Kolditz, U.-J. Gorke, H. Shao, W. Wang (eds.), Thermo-Hydro-Mechanical-Chemical Processes in Fractured Porous Media - Bench-marks and Examples.

87. S. Forth, P. Hovland, E. Phipps, J. Utke, A. Walther (eds.), it RecentAdvances in Algorithmic Differentiation.

88. J. Garcke, M. Griebel (eds.), Sparse Grids and Applications.

89. M. Griebel, M. A. Schweitzer (eds.), Meshfree Methods for PartialDifferential Equations VI.

90. C. Pechstein, Finite and Boundary Element Tearing and Intercon-necting Solvers for Multiscale Problems.

91. R. Bank, M. Holst, O. Widlund, J. Xu (eds.), Domain Decomposi-tion Methods in Science and Engineering XX.

92. H. Bijl, D. Lucor, S. Mishra, C. Schwab (eds.), Uncertainty Quan-tification in Computational Fluid Dynamics.

93. M. Bader, H.-J. Bungartz, T. Weinzierl (eds.), Advanced Computing.

94. M. Ehrhardt, T. Koprucki (eds.), Advanced Mathematical Modelsand Numerical Techniques for Multi-Band Effective Mass Approxi-mations.

95. M. Azaıez, H. El Fekih, J.S. Hesthaven (eds.), Spectral and High Or-der Methods for Partial Differential Equations ICOSAHOM 2012.

For further information on these books please have a look at our mathematics cata-

logue at the following URL: www.springer.com/series/3527