领先 发表于 2025-3-30 09:23:39
Christopher Charles Santos-Langsional subspaces, e.g., in order to reduce the noise in overmodeled problems, - hance the performance in case of estimated statistics, and/or save compu- tional complexity in the design of the estimator which requires the solution of linear equation systems. This book provides a comprehensive overviinsightful 发表于 2025-3-30 14:44:58
http://reply.papertrans.cn/63/6208/620763/620763_52.png打包 发表于 2025-3-30 18:04:43
http://reply.papertrans.cn/63/6208/620763/620763_53.pnghieroglyphic 发表于 2025-3-30 22:15:59
David J. Gunkelon where optimal linear estimators are approximated in low-dimensional subspaces, e.g., in order to reduce the noise in overmodeled problems, - hance the performance in case of estimated statistics, and/or save compu- tional complexity in the design of the estimator which requires the solution of li