In this paper, we propose new mathematical programming approaches for computing time-dependent bid prices in network revenue management problems. In contrast with previous models, ours can accommodate more than one customer request between two successive bid price updates, as frequently occurs in practice. As a first approach, we introduce a simplified version of our time-dependent bid price mo...

Reverse pricing has been recognized as an effective tool to handle demand uncertainty in the travel industry (e.g., airlines and hotels). To investigate its viability for communication networks, we study the practical limitations of (operator-driven) time-dependent pricing that has been recently introduced, taking into account demand uncertainty. Compared to (operator-driven) time-dependent pri...

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reduced differental transform method (rdtm), which isone of the useful and effective numerical method, is applied to solve nonlinear time-dependent foam drainage equation (fde) with different initial conditions. we compare our method with the famous adomian decomposition and laplace decomposition methods. the obtained resultsdemonstrated that rdtm is a powerful tool for solving nonlinear par...