Download e-book for iPad: Acta Numerica 2004: Volume 13 (Acta Numerica) by Arieh Iserles

By Arieh Iserles

ISBN-10: 0521838118

ISBN-13: 9780521838115

Acta Numerica surveys each year an important advancements in numerical arithmetic and clinical computing. the topics and authors of the noticeable survey articles are selected by way of a amazing foreign editorial board with a view to file an important and well timed advancements in a fashion available to the broader neighborhood of pros with an curiosity in clinical computing. Acta Numerica volumes have proved to be a worthwhile software not just for researchers and execs wishing to increase their figuring out of numerical thoughts and algorithms and persist with new advancements, but in addition as a sophisticated educating reduction at faculties and universities. a number of the unique articles were used because the top source for graduate classes. this actual quantity used to be initially released in 2004.

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Extra info for Acta Numerica 2004: Volume 13 (Acta Numerica)

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Pagano (1979), A sparse least squares problem in photogrammetry, in Proceedings of the Computer Science and Statistics 12th Annual Symposium on the Interface (J. F. ), University of Waterloo, Canada, pp. 26-30. G. H. Golub, K. Solna and P. Van Dooren (1995), A QR-like SVD algorithm for a product/quotient of several matrices, in SVD and Signal Processing, III: Algorithms, Architectures and Applications (M. Moonen and B. De Moor, eds), Elsevier Science BV, Amsterdam, pp. 139-147. M. Gu (1998a), 'Backward perturbation bounds for linear least squares problems', SIAM J.

C. Paige and R. C. Ward (1986), 'Computing the SVD of a product of two matrices', SIAM J. Sci. Statist. Comput. 7, 1147-1149. M. T. Heath, R. J. Plemmons and R. C. Ward (1984), 'Sparse orthogonal schemes for structural optimization using the force method', SIAM J. Sci. Statist. Comput. 5, 514-532. M. R. Hestenes and E. Stiefel (1952), 'Methods of conjugate gradients for solving linear systems', J. Res. Nat. Bur. Standards B49, 409-436. N. J. Higham (1995), Accuracy and Stability of Numerical Algorithms, 1st edn, SIAM, Philadelphia, PA.

R. J. Hanson and C. L. Lawson (1969). 'Extensions and applications of the Householder algorithm for solving linear least squares problems', Math. Comput. 23, 787-812. K. H. Haskell and R. J. Hanson (1981), 'An algorithm for linear least squares problems with equality and nonnegativity constraints', Math. Program. 21, 98-118. M. T. Heath, A. J. Laub, C. C. Paige and R. C. Ward (1986), 'Computing the SVD of a product of two matrices', SIAM J. Sci. Statist. Comput. 7, 1147-1149. M. T. Heath, R. J.

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Acta Numerica 2004: Volume 13 (Acta Numerica) by Arieh Iserles


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