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The efficiency of the solution technique is demonstrated and discussed.
The efficiency of the solution technique is tested for two prevalent distribution functions.
The solution technique consists in a Fourier Chebyshev collocation method combined with a matching method.
The solution technique consists in a Chebyshev orthogonal collocation method preconditioned by a standard Galerkin finite element technique.
The solution technique is an iterative process which is dependent upon the value of the parameter γ.
The solution technique, which is based on source and Green's functions, is well suited for solving restricted entry problems.
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For more details on the solution techniques see refs 18, 41.
For the solution techniques, we adopt the goal programming approach and design an appropriate algorithm process.
The solution techniques, including the vertex method and the fuzzy-numerical simulation method (i.e. the single-value simulation method), are discussed in detail.
Then using the extended Kalman filter (EKF) approach, the state and parameter are estimated by applying the solution techniques to a distributed parameter system.
Most of the solution techniques in this area have been developed for particular sorts of problems.
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