{"product_id":"factorization-methods-for-discrete-sequential-estimation-dover-books-on-mathematics-0486449815","title":"Factorization Methods for Discrete Sequential Estimation (Dover Books on Mathematics)","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0486449815\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Gerald J. Bierman\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51972077158688,"sku":"NEW0486449815","price":15.51,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/812PDLoqvbL.jpg?v=1783791265","url":"https:\/\/miakarts.com\/products\/factorization-methods-for-discrete-sequential-estimation-dover-books-on-mathematics-0486449815","provider":"Miakarts Books","version":"1.0","type":"link"}