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We introduce a network topology-dependent matrix to solve such contradiction.
Modified silica nanoparticles are introduced into PLA matrix to solve this problem in this study.
In [2], Bhrawy et al. applied a spectral tau method based on the Jacobi operational matrix to solve the problem.
In this section, we apply the spectral tau method together with the shifted Jacobi operational matrix to solve SFDE (5) with initial conditions (6) and boundary conditions (7).
Since is not a square matrix, to solve (3), one constructs a least-squares problem which finds that minimizes the squared error [7], (4).
Most existing allocation methods need the control effectiveness matrix to solve the problem, and their allocation accuracy directly depends on the identification precision of the control effectiveness matrix.
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As a result, they end up with different packet incidence matrices to solve over time.
The inverse of this matrix will be used when we use operational matrices to solve under local boundary conditions.
This paper uses new fractional integration operational matrices to solve a class of fractional neutral pantograph delay differential equations.
Recent study in [13] proposes a joint diagonalization approach of cross cumulant matrices to solve the complex IVA problem.
Hajarian [19] derived a simple and efficient matrix algorithm to solve the general coupled matrix equations (sum_{j = 1}^{p} A_{ij}X_{j}B_{ij} = C_{i}), (i = 1,2, ldots,p) (including several linear matrix equations as particular cases) based on the conjugate gradients squared (CGS) method.
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