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

決絕

書目名稱Skeletterkrankungen影響因子(影響力)




書目名稱Skeletterkrankungen影響因子(影響力)學(xué)科排名




書目名稱Skeletterkrankungen網(wǎng)絡(luò)公開度




書目名稱Skeletterkrankungen網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Skeletterkrankungen被引頻次




書目名稱Skeletterkrankungen被引頻次學(xué)科排名




書目名稱Skeletterkrankungen年度引用




書目名稱Skeletterkrankungen年度引用學(xué)科排名




書目名稱Skeletterkrankungen讀者反饋




書目名稱Skeletterkrankungen讀者反饋學(xué)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

下級

生氣地

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