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Fixed-Point Iteration Schemes to Solve Symmetric Algebraic Riccati Equation XBX-XA-ATX-C=0.
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- Circuits, Systems & Signal Processing, 2024, v. 43, n. 6, p. 3516, doi. 10.1007/s00034-024-02650-0
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A family of iterative methods to solve nonlinear problems with applications in fractional differential equations.
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- Mathematical Methods in the Applied Sciences, 2024, v. 47, n. 4, p. 2099, doi. 10.1002/mma.9736
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Several efficient iterative algorithms for solving nonlinear tensor equation X+AT∗NX-1∗NA=I with Einstein product.
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- Computational & Applied Mathematics, 2024, v. 43, n. 2, p. 1, doi. 10.1007/s40314-024-02602-z
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Developing HSS iteration schemes for solving the quadratic matrix equation AX2+BX+C=0$AX^{2}+BX+C=0$.
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- IET Control Theory & Applications (Wiley-Blackwell), 2024, v. 18, n. 3, p. 335, doi. 10.1049/cth2.12585
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An efficient iterative method for finding the Moore-Penrose and Drazin inverse of a matrix.
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- Journal of Computational Mathematics & Computer Modeling with Applications, 2022, v. 1, n. 2, p. 8, doi. 10.52547/CMCMA.1.2.8
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A class of efficient derivative free iterative method with and without memory for solving nonlinear equations.
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- Journal of Computational Mathematics & Computer Modeling with Applications, 2022, v. 1, n. 2, p. 20, doi. 10.52547/CMCMA.1.2.20
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A modified Chebyshev ϑ‐weighted Crank–Nicolson method for analyzing fractional sub‐diffusion equations.
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- Numerical Methods for Partial Differential Equations, 2021, v. 37, n. 1, p. 614, doi. 10.1002/num.22543
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An efficient method to compute the Moore–Penrose inverse.
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- Advances in Pure & Applied Mathematics, 2018, v. 9, n. 2, p. 143, doi. 10.1515/apam-2016-0064
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