Titlebook: Skeletterkrankungen; Klinisch-radiologisc Jürgen Freyschmidt Book 19931st edition Springer-Verlag Berlin Heidelberg 1993 Bildgebendes Diagn

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书目名称Skeletterkrankungen影响因子(影响力)




书目名称Skeletterkrankungen影响因子(影响力)学科排名




书目名称Skeletterkrankungen网络公开度




书目名称Skeletterkrankungen网络公开度学科排名




书目名称Skeletterkrankungen被引频次




书目名称Skeletterkrankungen被引频次学科排名




书目名称Skeletterkrankungen年度引用




书目名称Skeletterkrankungen年度引用学科排名




书目名称Skeletterkrankungen读者反馈




书目名称Skeletterkrankungen读者反馈学科排名

NIL

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

裂隙

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

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

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

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

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生气地

Range-Of-Motion

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