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Forward and backward propagation procedures are compared in terms of computational expense.
It is also shown to be significantly more efficient in terms of computational expense than competing methodologies.
Numerical results obtained from both optimization methods are compared in terms of computational expense and model quality.
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To do so, we borrowed the notion of sensor (loop detector) location problem which is proven to be of utmost difficult problems in terms of computational expenses.
This operation is trivial in terms of computational complexity.
This approach is reasonable in terms of computational complexity.
It was proposed that the distinction could be formalized in terms of computational complexity, leading to a suite of complexity classes, including N and NP.
These results hold not just in terms of accuracy but also in terms of computational complexity.
Moreover, in terms of the computational expenses, the proposed methodology provides highly efficient methods much owed to the adoption of the partial traffic assignment.
Reduction of dimensionality results in substantial savings of computational expense, enabling faster computation times or consideration of larger system sizes.
This study is designed to explain these methods and to compare and contrast them in terms of modeling precision, computational expense, and calculation details.
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