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The Spectral Theorem for symmetric real matrices.
Optimization of the extraction conditions was performed on real matrices.
The cases of real matrices and complex matrices are considered separately.
The case of real matrices S is examined in more detail.
The proposed electrode was used successfully for MET determination in real matrices.
Compared with other neural networks designed for the similar aims, this RNN is applicable to general real matrices.
Consider the affine matrix family A x)=A0+∑k=1mxkAk, mapping a design vector x∈Rm into the space of n×n real matrices.
We consider a basic version of this problem here: given a vector space of sparse real matrices, does it contain a stable (Hurwitz) matrix?
The subdifferential of convex functions of the singular spectrum of real matrices has been widely studied in matrix analysis, optimization and automatic control theory.
In this paper, a new approach based on the Adomian decomposition method and the Faddeev-Leverrier's algorithm is presented for finding real eigenvalues of any desired real matrices.
be two real matrices.
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