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The use of approximation strategies is designed to reduce the number of detailed, costly computer simulations required during optimization while maintaining the pertinent features of the design problem.
A common engineering practice is the use of approximation models in place of expensive computer simulations to drive a multidisciplinary design process based on nonlinear programming techniques.
The novelty of the paper is that the analytical closed-form solution is developed without any use of approximation for a combination of six different boundary conditions; specifically, two opposite edges are simply supported and any of the other two edges can be simply supported, clamped or free.
In this study, we describe the use of approximation methods to calculate the distribution of the sum of i.n.i.d.n.i.d
There are examples in the literature of the use of approximation in obtaining solution to RA problems in the OFDMA-based networks, as well as CRN.
The number of combinations for the discrete clock algorithm is also computationally difficult and warrants the use of approximation methods.
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Elaborates on the concept of probing, learning and control of stochastic systems, and addresses the practical application of the concept and methodology through the use of approximations.
Specifically, since clustering is a NP-hard task and the corresponding training problem likewise must make use of approximate inference during training of the parameters, we present a detailed theoretical and empirical analysis of the general use of approximations in structural SVM training.
The method makes use of approximations to the axial pressure profile and the temperature profiles and includes heat transfer between the film and its boundaries.
However, the computation of the posterior of a RFS is intractable in general, and therefore the use of approximations is required.
For example, the SGA overestimates the system's performance, thus making the use of approximations an even more severe problem when the number of users is small [2].
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