{"product_id":"9780486449814","title":"Factorization Methods for Discrete Sequential Estimation","description":"\u003cbr\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.\u003cbr\u003eTopics 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 \u003ci\u003ea priori\u003c\/i\u003e statistics. The concluding chapters explore SRIF error analysis of effects due to mismodeled variables and incorrect filter \u003ci\u003ea priori \u003c\/i\u003estatistics 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.","brand":"Dover Publications","offers":[{"title":"Default Title","offer_id":47025740513520,"sku":"9780486449814","price":14.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780486449814_p0.jpg?v=1763775337","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780486449814","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}