Results 91 to 100 of about 992,671 (173)
New Bounds for the Davis–Wielandt Radius via the Moore–Penrose Inverse of Bounded Linear Operators
In this paper, we obtain some new upper bounds involving powers of the Davis–Wielandt radius of bounded linear operators with closed ranges by using the Moore–Penrose inverse.
Xiaomei Dong, Yuzhen Guo, Deyu Wu
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This work begins by presenting the essential and enough circumstances for the presence of the Hermitian solution to equations ΨXΦ + Φ∗YΨ∗ = Ω = Ψ∗XΦ∗+ ΦYΨ in the case where the operators are linear and bounded in a Hilbert space and in terms of the Moore-
Salim Dawood Mohsen +1 more
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RECTANGULAR INPUT-OUTPUT MODELS BY MOORE-PENROSE INVERSE
The official available data must be the primary datasource in economic studies. However, in economic modelling related with supply-use tables this aspect is ignored.
Pereira López, Xesús +2 more
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Moore-Penrose inverse of distance Laplacians of trees are Z matrices
We show that all off-diagonal entries in the Moore-Penrose inverse of the distance Laplacian matrix of a tree are non ...
Gupta, Vinayak, Balaji, R.
core
On the generalized inverse Moore-Penrose matrix for multidimensional matrices
The article is devoted to dissemination of the known for the usual matrices generalized inverse Moore-Penrose matrix to the multidimensional matrices. At first, the generalized inverse Moore-Penrose matrix for the usual matrices is considered.
Mukha, V. S.
core
The Moore–Penrose algorithm provides a generalized notion of an inverse, applicable to degenerate matrices. In this paper, we introduce a covariant extension of the Moore–Penrose method that permits to deal with general relativity involving complex non ...
Arthur Garnier, Emmanuele Battista
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Optimizing the ordering of the Hadamard masks of ghost imaging suitable for the efficient face reconstruction using the max-projection method. [PDF]
Zhang H +7 more
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The Moore-Penrose inverse over a commutative ring
Let R be a commutative ring with 1 and with an involution a → ā, and let MR be the category of finite matrices over R with the involution (aij) → (aij)∗ = (āji).
R.B. Bapat +3 more
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The randomization-based feedforward neural network has raised great interest in the scientific community due to its simplicity, training speed, and accuracy comparable to traditional learning algorithms.
Elkin Gelvez-Almeida +5 more
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A characterization of the Moore-Penrose inverse
If A is a nonsingular matrix of order n, the inverse of A is the unique matrix X for which rankAIIX=rank(A). We present a generalization of this fact to singular or rectangular matrices A to obtain an analogous result for the Moore-Penrose inverse A+ of ...
Markham, Thomas L., Fiedler, Miroslav
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