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Factorization Methods for Discrete Sequential Estimation (Dover Books on Mathematics) - Softcover

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This estimation reference text thoroughly describes matrix factorization methods successfully employed by numerical analysts, familiarizing readers with the techniques that lead to efficient, economical, reliable, and flexible estimation algorithms.
Topics include a review of least squares data processing and the Kalman filter algorithm; positive definite matrices, the Cholesky decomposition, and some of their applications; Householder orthogonal transformations; sequential square root data processing; mapping effects and process noise; biases and correlated process noise; and covariance analysis of effects due to mismodeled variables and incorrect filter a priori statistics. The concluding chapters explore SRIF error analysis of effects due to mismodeled variables and incorrect filter a priori statistics as well as square root information smoothing. Geared toward advanced undergraduates and graduate students, this pragmatically oriented and detailed presentation is also a useful reference, featuring numerous helpful appendixes throughout the text.

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  • PublisherDover Publications
  • Publication date2006
  • ISBN 10 0486449815
  • ISBN 13 9780486449814
  • BindingPaperback
  • LanguageEnglish
  • Number of pages256
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ISBN 10:  0124109853 ISBN 13:  9780124109858
Publisher: Academic Press, 2012
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Paperback. Condition: As New. Reprint. unabridged republication of the Academic Press 1977 edition. 256 pages. "This estimation reference text thoroughly describes matrix factorization methods successfully employed by numerical analysts, familiarizing readers with the techniques that lead to efficient, economical, reliable, and flexible estimation algorithms." ; 5 3/8 x 8 1/2 ". Seller Inventory # 52008

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Paperback. Condition: new. Paperback. This estimation reference text thoroughly describes matrix factorization methods successfully employed by numerical analysts, familiarizing readers with the techniques that lead to efficient, economical, reliable, and flexible estimation algorithms.Topics include a review of least squares data processing and the Kalman filter algorithm; positive definite matrices, the Cholesky decomposition, and some of their applications; Householder orthogonal transformations; sequential square root data processing; mapping effects and process noise; biases and correlated process noise; and covariance analysis of effects due to mismodeled variables and incorrect filter a priori statistics. The concluding chapters explore SRIF error analysis of effects due to mismodeled variables and incorrect filter a priori statistics as well as square root information smoothing. Geared toward advanced undergraduates and graduate students, this pragmatically oriented and detailed presentation is also a useful reference, featuring numerous helpful appendixes throughout the text. Geared toward advanced undergraduates and graduate students, this text describes matrix factorization methods employed by numerical analysts, featuring techniques that lead to efficient, economical, reliable, and flexible estimation algorithms. 1977 edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780486449814

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