Results 21 to 30 of about 3,133,998 (302)
Characterizations of the group invertibility of a matrix revisited
A square complex matrix AA is said to be group invertible if there exists a matrix XX such that AXA=AAXA=A, XAX=XXAX=X, and AX=XAAX=XA hold, and such a matrix XX is called the group inverse of AA.
Tian Yongge
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Algebraic Characterizations of Relationships between Different Linear Matrix Functions
Let f(X1,X2,…,Xk) be a matrix function over the field of complex numbers, where X1,X2,…,Xk are a family of matrices with variable entries. The purpose of this paper is to propose and investigate the relationships between certain linear matrix functions ...
Yongge Tian, Ruixia Yuan
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Experimental and modeling study on the effect of molecular diffusion during CO2 injection
In this work, a new approach based on the effect of molecular diffusion on oil recovery during CO2 injection in naturally fractured reservoirs has been proposed to examine the best condition for oil recovery in the matrix block.
Vahid Moayedi Esfahani +3 more
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Real block-circulant matrices and DCT-DST algorithm for transformer neural network
In the encoding and decoding process of transformer neural networks, a weight matrix-vector multiplication occurs in each multihead attention and feed forward sublayer.
Euis Asriani +4 more
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Matrix compression along isogenic blocks [PDF]
AbstractA matrix-compression algorithm is derived from a novel isogenic block decomposition for square matrices. The resulting compression and inflation operations possess strong functorial and spectral-permanence properties. The basic observation that Hadamard entrywise functional calculus preserves isogenic blocks has already proved to be of ...
Belton, Alexander +3 more
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In this study, we propose a novel hybrid model for the vehicle routing problem that combines fuzzy travel time and transportation type selection between milk-run and cross-dock strategies to derive an optimal transportation plan.
Yong Chen (5568089) +3 more
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On convergence of the maximum block improvement method [PDF]
. The MBI (maximum block improvement) method is a greedy approach to solving optimization problems where the decision variables can be grouped into a finite number of blocks. Assuming that optimizing over one block of variables while fixing all others is
Shuzhong Zhang +5 more
core +1 more source
Approximations for the general block distribution of a matrix
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bengt Aspvall +2 more
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Block methods of multidimensional-matrix data analysis [PDF]
The paper is devoted to the substantiation and the software implementation of the block method for the solving of the multidimensional-matrix problems.
Mukha, V. S.
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The Limiting Spectra of Girko’s Block-Matrix [PDF]
10 ...
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