Книги з теми "Subspaces methods"
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Demmel, James Weldon. Three methods for refining estimates of invariant subspaces. New York: Courant Institute of Mathematical Sciences, New York University, 1985.
Watkins, David S. The matrix eigenvalue problem: GR and Krylov subspace methods. Philadelphia: Society for Industrial and Applied Mathematics, 2007.
Mats, Viberg, and Stoica Petre 1949-, eds. Subspace methods. Amsterdam: Elsevier, 1996.
Katayama, Tohru. Subspace methods for system identification. London: Springer, 2005.
Katayama, Tohru. Subspace Methods for System Identification. London: Springer London, 2005. http://dx.doi.org/10.1007/1-84628-158-x.
Saad, Y. Krylov subspace methods on supercomputers. [Moffett Field, Calif.?]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1988.
Sogabe, Tomohiro. Krylov Subspace Methods for Linear Systems. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8532-4.
Heeger, David J. Subspace methods for recovering rigid motion. Toronto, Ont: University of Toronto, 1990.
Jepson, Allan D. Linear subspace methods for recovering translational direction. Toronto: University of Toronto, Dept. of Computer Science, 1992.
F, Chan Tony, and Research Institute for Advanced Computer Science (U.S.), eds. Preserving symmetry in preconditioned Krylov subspace methods. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.
F, Chan Tony, and Research Institute for Advanced Computer Science (U.S.), eds. Preserving symmetry in preconditioned Krylov subspace methods. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.
F, Chan Tony, and Research Institute for Advanced Computer Science (U.S.), eds. Preserving symmetry in preconditioned Krylov subspace methods. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.
Chen, Yen-Wei, and Lakhmi C. Jain, eds. Subspace Methods for Pattern Recognition in Intelligent Environment. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54851-2.
Research Institute for Advanced Computer Science (U.S.), ed. Krylov subspace methods for complex non-Hermitian linear systems. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1991.
Saad, Y. Overview of Krylov subspace methods with applications to control problems. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.
Amini, S. Preconditioned Krylov subspace methods for boundary element solution of the Helmholtz equation. Salford: University of Salford Department of Mathematics and Computer Science, 1995.
United States. National Aeronautics and Space Administration., ed. Subspace based signal analysis of partially polarized light reflected by plant canopies. [Washington, DC: National Aeronautics and Space Administration, 1996.
Branch, Mary Ann. A subspace, interior, and conjugate gradient method for large-scale bound-constrained minimization problems. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1995.
Sidi, Avram. Application of vector-valued rational approximations to the matrix Eigenvalue problem and connections with Krylov subspace methods. [Washington, DC: National Aeronautics and Space Administration, 1992.
United States. National Aeronautics and Space Administration., ed. Application of vector-valued rational approximations to the matrix Eigenvalue problem and connections with Krylov subspace methods. [Washington, DC: National Aeronautics and Space Administration, 1992.
Katayama, Tohru. Subspace Methods for System Identification. Springer London, Limited, 2010.
National Aeronautics and Space Administration (NASA) Staff. Krylov Subspace Methods on Supercomputers. Independently Published, 2018.
Katayama, Tohru. Subspace Methods for System Identification. Springer London, Limited, 2006.
Liesen, Jörg, and Zdenek Strakos. Krylov Subspace Methods: Principles and Analysis. Oxford University Press, 2015.
Krylov Subspace Methods Principles And Analysis. Oxford University Press, 2013.
Liesen, Jan, Jörg Liesen, and Zdenek Strakos. Krylov Subspace Methods: Principles and Analysis. Oxford University Press, 2012.
Liesen, Jörg, and Zdenek Strakos. Krylov Subspace Methods: Principles and Analysis. Oxford University Press, Incorporated, 2012.
Lukas, Andre. The Oxford Linear Algebra for Scientists. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198844914.001.0001.
Preserving symmetry in preconditioned Krylov subspace methods. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1996.
Simoncini, Valeria. Krtlov Subspace Methods for Linear Systems - Tools. Princeton University Press, 2009.
Jain, Lakhmi C., and Yen-Wei Chen. Subspace Methods for Pattern Recognition in Intelligent Environment. Springer, 2014.
Jain, Lakhmi C., and Yen-Wei Chen. Subspace Methods for Pattern Recognition in Intelligent Environment. Springer London, Limited, 2014.
Jain, Lakhmi C., and Yen-Wei Chen. Subspace Methods for Pattern Recognition in Intelligent Environment. Springer, 2016.
Ramakrishnan, S., ed. Face Recognition - Semisupervised Classification, Subspace Projection and Evaluation Methods. InTech, 2016. http://dx.doi.org/10.5772/61471.
Sogabe, Tomohiro. Krylov Subspace Methods for Linear Systems: Principles of Algorithms. Springer, 2023.
Farahbakhsh, Iman. Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers. Wiley & Sons, Limited, John, 2020.
Farahbakhsh, Iman. Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers. Wiley & Sons, Limited, John, 2020.
Farahbakhsh, Iman. Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers. Wiley & Sons, Incorporated, John, 2020.
Farahbakhsh, Iman. Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers. Wiley & Sons, Incorporated, John, 2020.
Application of vector-valued rational approximations to the matrix Eigenvalue problem and connections with Krylov subspace methods. [Washington, DC: National Aeronautics and Space Administration, 1992.
Application of vector-valued rational approximations to the matrix Eigenvalue problem and connections with Krylov subspace methods. [Washington, DC: National Aeronautics and Space Administration, 1992.
Starr, Jason, Brendan Hassett, Ravi Vakil, and James McKernan. A Celebration of Algebraic Geometry (Clay Mathematics Proceedings). American Mathematical Society, 2013.