决绝
发表于 2025-3-21 18:00:02
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NIL
发表于 2025-3-21 23:13:29
Jürgen Freyschmidt(Pockels) electrooptic modulator applications. Information on actual electrooptic modulator design as well as applications for these materials, and data on materials exhibiting a quadratic (Kerr) electrooptic effect, are not included. With these restrictions in mind, every attempt was made to be as
言外之意
发表于 2025-3-22 02:38:17
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裂隙
发表于 2025-3-22 05:43:35
Jürgen Freyschmidtelastic deformations or electrical networks, the flutter of aeroplane wings or the estimation of errors by the method of least squares, at some stage in the cal culation we encounter a system of linear equations. In each case the problem of solving the equations is the same, and it is with the math
Handedness
发表于 2025-3-22 11:36:11
Jürgen Freyschmidt0 § 4. THE EQUATION ADJOINT TO THE FACTORED EQUATION. 17 § 5. AN EQUATION WITH A CLOSED OPERATOR WHICH HAS A DENSE DOMAIN 18 NORMALLY SOLVABLE EQUATIONS WITH FINITE DIMENSIONAL KERNEL. 22 § 6. A PRIORI ESTIMATES .. . . . . . 24 § 7. EQUATIONS WITH FINITE DEFECT . . . 27 § 8. § 9. SOME DIFFERENT ADJO
香料
发表于 2025-3-22 13:56:09
Jürgen Freyschmidtsional 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 overvi
西瓜
发表于 2025-3-22 17:42:34
Jürgen Freyschmidton 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
下级
发表于 2025-3-23 00:59:51
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生气地
发表于 2025-3-23 05:04:55
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Range-Of-Motion
发表于 2025-3-23 07:33:08
Jürgen Freyschmidton 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