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**Sample text**

The canonical MINOS). Let y D A x be a canonical representation of the underdetermined system of linear equations fy D AxjA 2 Rn m ; r WD rkA D n; n < mg. Then the rank partitioning of xm is Gx -MINOS. 127). 128). 128) Proof. 58) and replace the matrix A 2 m by its canonical representation, namely eigenspace synthesis. 133) x2 0 0 0 The pair of eigensystems AA# L D Lƒ2 ; A# AR1 D R1 ƒ2 is unfortunately based upon non-symmetric matrices AA# D AGx 1 A0 Gy and A# A D Gx 1 A0 Gy A which make the left and right eigenspace analysis numerically more complex.

82). The reflexive matrix L is the Gx -weighted A1;2;4 generalized inverse. 82) Proof. A; y//. I LA/ D 0 or A0 L0 Gx D A0 L0 Gx LA. The right hand side is a symmetric matrix. Gx LA/0 , what had to be shown. I AL/y D 0 for all y 2 Rm 1 or AL D I. AGx 1 A0 / 1 Ax, Gx LAL D Gx L, is a direct consequence. AGx 1 A0 / 1 Ax. 85) 24 1 The First Problem of Algebraic Regression 1-24 Eigenvalue Decomposition of Gx -MINOS: Canonical MINOS In the empirical sciences, we meet quite often the inverse problem to determine the infinite set of coefficients of a series expansion of a function or a functional (Taylor polynomials) from a finite set of observations.

170) in an infinite-dimensional vector space force us to integration. 168) are integrals over the line element of S1r applied to the vectors x. /, y. / or e`1 , e`2 , respectively. Those integrals are divided by the length s of a total arc of S1r . Alternative representations of < xjy > and < e`1 je`2 > (Dirac’s notation of brackets, decomposed into “bra” and “ket”) based upon ds D rd , s D 2 r, lead us directly to the integration over S1 , the unit circle. 14 as a summary of the most essential features of the Fourier space.