2015
DOI: 10.1007/s00009-015-0542-2
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A New Matrix Approach For Solving Second-Order Linear Matrix Partial Differential Equations

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Cited by 24 publications
(21 citation statements)
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“…By solving the Sylvester equation (23) via a robust Krylov subspace iterative method (i.e., generalized BICGSTAB), that are provided in [31] , one can obtain an approximate value for ˜ U and replacing it instead of U in (16) . Therefore, a numerical solution of (1) -(3) in terms of Bernoulli polynomials can be achieved.…”
Section: Bernoulli Matrix Methods For Solving (1) -(3)mentioning
confidence: 99%
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“…By solving the Sylvester equation (23) via a robust Krylov subspace iterative method (i.e., generalized BICGSTAB), that are provided in [31] , one can obtain an approximate value for ˜ U and replacing it instead of U in (16) . Therefore, a numerical solution of (1) -(3) in terms of Bernoulli polynomials can be achieved.…”
Section: Bernoulli Matrix Methods For Solving (1) -(3)mentioning
confidence: 99%
“…Similar to the BMM, we first assume that According to the properties of the kronecker product, which were used in [30,31] , one can deduce that Since the computational domain of this example is standard, one can consider the following uniform mesh for both of the spatial and temporal variables:…”
Section: Tablementioning
confidence: 99%
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“…The main aim of using an orthogonal basis is that our proposed problem reduces to a system of linear or nonlinear algebraic equations. This can be performed by the solution of the proposed problem using the operational matrices (e.g., ). An important property of operational matrix method is that it simplifies the problem and also speeds up the computation.…”
Section: Introductionmentioning
confidence: 99%