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The decomposition method, which is proved to be efficient in solving differential equations, can be applied to various types of fractional differential equations [6].
Computational experiments on a simple network and a real-world network for Florida show the heuristics to be efficient in solving the problems.
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We show that this SAT-based technique is efficient in solving industrial problems.
It is concluded that the simplified algorithm is efficient in solving the decoupled GLS PFE problem for realistic size networks.
The result shows that the proposed reliability-based robust optimization design is efficient in solving ORS design optimization problems.
The results indicate that the proposed solution method is efficient in solving a wide range of problem instances.
An asymptotic preserving (AP) scheme is efficient in solving multiscale kinetic equations with a wide range of the Knudsen number.
It has been shown [5, 6] that the neural network models are efficient in solving variational inequalities and related optimization problems.
Although the Hager-Zhang type and Dai-Kou type conjugate gradient methods are efficient in solving problem (2), during the implementation of the methods, function evaluations are required.
The computational results show that the model and solution methods proposed in this paper are efficient in solving the integrated unloading problem for the automated container terminal.
Simulations show that the proposed solution achieves significant throughput compared with existing approaches, and it is efficient in solving the nonconvex optimization problem.
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