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The new algorithm produces a smaller matrix whose determinant is a nontrivial multiple of the Sparse Resultant and from which the latter is easily recovered.
Hydraulic tests show moderate to large bulk rock hydraulic conductivity and rock core tests indicate much smaller matrix hydraulic conductivity than the bulk rock values.
Compared to traditional SA-FSM, this method has a smaller matrix and higher computational efficiency due to no global stiffness matrix generated.
As a result, BEM needs fewer equations resulting in a smaller matrix size than FEM and can solve both finite and infinite domain problems (Jia et al. 2004; Parvanova et al. 2014).
In comparison with the ESPRIT algorithm, the EDBA has less complexity because the decomposition in the EDBA method is performed only once and on a smaller matrix dimension than that in the ESPRIT algorithm where the decomposition is performed twice.
In fact, it has lower computational complexity than that of the well-known ESPRIT algorithm due to the fact that the decomposition used in the EDBA method is applied only once and on a smaller matrix dimension than that in the ESPRIT algorithm where the decomposition is applied twice [23].
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Decomposition methods try to approximate the expression matrix using a product of smaller matrices.
Checking for correctness with make testAll and then make test2 is slow, can I test correctness on smaller matrices first?
The proper use of a separable covariance function enables us to describe the huge covariance matrix as a Kronecker product of smaller matrices leading to efficient algorithms for carrying out inference and predictions.
The required conditions impose structure on the state matrices of the descriptor system, and thereby allow expression of the solution of the new system in terms of smaller matrices.
These approaches work by splitting the EEM matrix into multiple smaller matrices.
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