Books on the topic 'Linear equations; Schwarz methods'

Kythe, Prem K. Computational Methods for Linear Integral Equations. Boston, MA: Birkhäuser Boston, 2002.

Kythe, Prem K., and Pratap Puri. Computational Methods for Linear Integral Equations. Boston, MA: Birkhäuser Boston, 2002. http://dx.doi.org/10.1007/978-1-4612-0101-4.

Laflin, S. Numerical methods of linear algebra. [London?]: Chartwell-Brat, 1988.

Yoshida, Masaaki. Fuchsian differential equations, with special emphasis on the Gauss-Schwarz theory. Wiesbaden: Vieweg, 1987.

Greenbaum, Anne. Iterative methods for solving linear systems. Philadelphia, PA: Society for Industrial and Applied Mathematics, 1997.

General linear methods for ordinary differential equations. Hoboken, N.Y: Wiley, 2009.

Jackiewicz, Zdzisław. General Linear Methods for Ordinary Differential Equations. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2009. http://dx.doi.org/10.1002/9780470522165.

Jerri, Abdul J. Linear Difference Equations with Discrete Transform Methods. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-5657-9.

Kelley, C. T. Iterative methods for linear and nonlinear equations. Philadelphia: Society for Industrial and Applied Mathematics, 1995.

Jerri, Abdul J. Linear difference equations with discrete transform methods. Dordrecht: Kluwer Academic, 1996.

Bert-Wolfgang, Schulze, and Sternin B. I͡U︡, eds. Quantization methods in differential equations. London: Taylor & Francis, 2002.

Saad, Yousef. Iterative methods for sparse linear systems. Boston, Mass: PWS, 1996.

Nevanlinna, Olavi. Convergence of iterations for linear equations. Basel: Birkhäuser, 1993.

Saylor, Paul E. Linear iterative solvers for implicit ode methods. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

Zingg, D. W. Runge-Kutta methods for linear ordinary differential equations. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

Maubach, J. M. L. Iterative methods for non-linear partial differential equations. Amsterdam, The Netherlands: Centrum voor Wiskunde en Informatica, 1994.

service), SpringerLink (Online, ed. Linear and Nonlinear Integral Equations: Methods and Applications. Berlin, Heidelberg: Higher Education Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg, 2011.

Zingg, D. W. Runge-Kutta methods for linear ordinary differential equations. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

Zingg, D. W. Runge-Kutta methods for linear ordinary differential equations. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

Zingg, D. W. Runge-Kutta methods for linear ordinary differential equations. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

Saad, Y. Iterative methods for sparse linear systems. Boston: PWS Pub. Co., 1996.

Iterative methods for sparse linear systems. 2nd ed. Philadelphia: SIAM, 2003.

Saylor, Paul E. Leapfrog variants of iterative methods for linear algebraic equations. Hampton, Va: ICASE, 1988.

Blanchard, Philippe, Joao-Paulo Dias, and Joachim Stubbe, eds. New Methods and Results in Non-linear Field Equations. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/bfb0025757.

Pommerell, Claude. Solution of large unsymmetric systems of linear equations. Konstanz: Hartung-Gorre, 1992.

1958-, Roch Steffen, and Silbermann Bernd 1941-, eds. Spectral theory of approximation methods for convolution equations. Basel: Birkhäuser Verlag, 1995.

Chronopoulos, Anthony. s-step iterative methods for symmetric linear systems. Urbana, IL (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

Polynomial based iteration methods for symmetric linear systems. Chichester: Wiley, 1996.

Bernd, Fischer. Polynomial based iteration methods for symmetric linear systems. Philadelphia: Society for Industrial and Applied Mathematics, 2011.

Schwarz, Fritz. Loewy Decomposition of Linear Differential Equations. Vienna: Springer Vienna, 2012.

1955-, Kornhuber Ralf, Widlund Olof B, Xu Jinchao, and SpringerLink (Online service), eds. Domain Decomposition Methods in Science and Engineering XIX. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

Deuflhard, P. Fast secant methods for the interative solution of large nonsymmetric linear systems. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.

Ashby, Steven F. The generalized SRT iteration for linear systems of equations. Urbana, IL (1304 W. Springfield Ave., Urbana 61801-2987): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

Sidi, Avram. Efficient implementation of minimal polynominal and reduced rank extrapolation methods. Cleveland, Ohio: NASA Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1990.

Kulish, V. V. Methods of averaging in non-linear problems of relativistic electrodynamics. Atlanta, Ga: World Federation Publishers, 1998.

Timochouk, Leonid A. Constructive algebraic methods for some problems in non-linear analysis: Doctor thesis. [York?]: L.A. Timochouk, 1997.

Diophantine equations and power integral bases: New computational methods. Boston: Birkhäuser, 2002.

1948-, Gray William G., ed. Numerical methods for differential equations: Fundamental concepts for scientific and engineering applications. Englewood Cliffs, N.J: Prentice Hall, 1992.

Butcher, J. C. The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods. Chichester: J. Wiley, 1987.

Solving linear systems: An analysis of matrix prefactorization iterative methods. Ithaca, NY: Matrix Editions, 2009.

Lindén, Lena. Developmental change and linear structural equations: Applications of LISREL models. Stockholm: Almqvist & Wiksell International, 1986.

Hansen, Per Christian. Rank-deficient and discrete ill-posed problems: Numerical aspects of linear inversion. Philadelphia: SIAM, 1998.

Hansen, Per Christian. Rank-deficient and discrete ill-posed problems: Numerical aspects of linear inversion. Philadelphia: SIAM, 1997.

Miller, J. J. H. Fitted Numerical Methods for Singular Perturbation Problems: Error estimates in the maximum norm for linear problems in one and two dimensions. Singapore: World Scientific, 2012.

Toader, Morozan, Stoica Adrian, and SpringerLink (Online service), eds. Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems. New York, NY: Springer Science+Business Media, LLC, 2010.

Smolarski, Dennis Chester. An optimum semi-iterative method for solving any linear set with a square matrix. Urbana, Ill. (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1985.

Tal-Ezer, Hillel. Polynomial approximation of functions of matrices and its application to the solution of a general system of linear equations. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

E, O'Riordan, and Shishkin G. I, eds. Fitted numerical methods for singular perturbation problems: Error estimates in the maximum norm for linear problems in one and two dimensions. Singapore: World Scientific, 1996.

Murthy, V. R. Linear and nonlinear dynamic analysis of redundant load path bearingless rotor systems. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1994.

Workshop, in Astronomy and Astrophysics of Chamonix (3rd 1993 Chamonix France). An introduction to methods of complex analysis and geometry for classical mechanics and non-linear waves: Proceedings of the third Workshop in Astronomy and Astrophysics of Chamonix (France), 1st-06 February 1993. Gif-sur-Yvette, France: Editions Frontières, 1994.