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Using benchmark examples, the proposed LBM-FP method is shown to be useful for solving PBEs due to its computational efficiency and ability to handle a wide range of problems.
The technique is implemented and verified using benchmark problems.
The proposed method is examined against Cplex using benchmark instances.
The approach is subjected to a comprehensive test using benchmark instances.
However, the solutions are still satisfactory compared to those obtained using benchmark models.
We validate the code using benchmark simulations documented in the literature.
Our method is tested using benchmark examples for three-dimensional potential problems.
Numerical computations are presented, using benchmark applications, in order to support the method.
It is comprehensively validated using benchmark circuits at 45 nm node.
The performance of Neuroet was assessed using benchmark standards for NNs.
To evaluate the present algorithm, computational experiments are conducted using benchmark problems from a previous study.
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