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In 2010, by combining the iterative method (1.2) with the Yamada's method (1.5), Tian [12] considered the following general iterative method.
By combining the iterative schemes proposed by Moudafi [1] and Xu [4], Marino and Xu [6] considered a general iterative method and proved that the sequence generated by the method converges strongly to a unique solution of a certain variational inequality problem, which is the optimality condition for a particular minimization problem.
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A velocity field was generated by combining the direct iterative method with Newton-Raphson iterative method, and then the initial velocity field of backward tracing simulation was achieved by reversing the direction of the velocity field.
The results obtained by combining the Newton's iterative method with the Galerkin's method are theoretically exact from the transverse and longitudinal displacements for anisotropic laminated beams under the axial compressive loads using the secondary parameter conversion technique, and they are validated by comparing with those available in the literature.
Our main contributions are: (i) A new three-step iterative algorithm is designed by combining the ideas of famous iterative algorithms such as proximal methods, Halpern methods, convex combination methods, viscosity methods, and implicit midpoint methods.
Xue [5] further improved the GA efficiency by combining the algorithm with an iterative deepening algorithm, and then directly applied it to a real flight track data.
The coexistence of problem (1.3) is investigated by combining the eigenvalue problem and monotone iterative schemes when (R_{0}^{D}>1), while if (R_{0}^{D}<1), problem (1.3) has no coexistence solution.
It is also demonstrated that one can obtain entire potential energy surfaces with millihartree accuracies by combining the ECCSD theory with the non-iterative a posteriori corrections obtained by using the generalized variant of the method of moments of coupled-cluster equations.
At the same time, the natural frequency of the structure is computed by combining the Wittrick William algorithm with a non-iterative algorithm.
By combining the two tree-search algorithms in an iterative framework, we avoid the need for training data.
By combining the two theories and setting up an iterative process, forces and momentum on blades can be obtained.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com