Results 121 to 130 of about 279 (161)
Partitioning Rectangular And Structurally Nonsymmetric Sparse Matrices For Parallel Processing
. A common operation in scientific computing is the multiplication of a sparse, rectangular or structurally nonsymmetric matrix and a vector. In many applications the matrix-transposevector product is also required.
Tamara +2 more
core
Sombor characteristic values of cographs. [PDF]
Raza Z, Rather BA, Imran M.
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Some bounds on the distance-sum-connectivity matrix. [PDF]
Gök GK.
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Improved McClelland and Koolen-Moulton bounds for distance energy of a graph. [PDF]
Sridhara G +3 more
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Factorization norms and an inverse theorem for MaxCut. [PDF]
Balla I, Hambardzumyan L, Tomon I.
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On comparison between the distance energies of a connected graph. [PDF]
Ganie HA, Rather BA, Shang Y.
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Spectral norm and energy of a digraph with respect to a VDB topological index. [PDF]
Espinal C, Monsalve J, Rada J.
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On the least signless Laplacian eigenvalue of a non-bipartite connected graph with fixed maximum degree. [PDF]
Guo SG, Zhang R.
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NUMERICAL INTEGRATION ON GRAPHS: WHERE TO SAMPLE AND HOW TO WEIGH. [PDF]
Linderman GC, Steinerberger S.
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