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Hämäläinen, M. S. & Ilmoniemi, R. J. Interpreting magnetic fields of the brain: minimum norm estimates.
The norm estimates are derived in the context of a space of homogeneous type.
We derive weighted norm estimates for integral operators of potential type and for their related maximal operators.
As an immediate application, we obtain mixed norm estimates for Π⊗Π in the whole range of Lebesgue exponents.
Among women however, there were no differences between reflective norm estimates or the degree of misperception as a function of Greek status.
We develop the complex interpolation associated with derivatives of analytic functions such as the generalized Calderón′s inequality, norm estimates for duality, interpolation of operators, and so on.
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Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates.
As an application, the Hm-norm estimates with negative m for the solutions of stochastic partial differential equations are derived.
The duality equations of stochastic partial differential equations are solved in the Sobolev space Hm (= W2m Rd)), and the Hm-norm estimates of the solutions are obtained.
Z. 245 (2003) 387 417; C. He, T. Miyakawa, On weighted-norm estimates for nonstationary incompressible Navier Stokes flows in a 3D exterior domain, J. Differential Equations 246 (2009) 2355 2386], respectively.
Below, we compare the conventional estimates with the minimum-norm estimates.
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