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This scheme is more suitable for nonlinear problems.
This method is developed here for nonlinear problems.
Nonquadratic Liapunov functionals can be developed for nonlinear problems.
Its properties and potential for nonlinear problems remain to be fully investigated.
Methods like Gaussian mixture models and auto-associative neural networks have been used for nonlinear problems.
For nonlinear problems again we can solve the optimization problem and find the design point u ∗.
Essential component has been an important aspect in the study of stability for nonlinear problems.
We also refer to [3] for asymptotic behavior and to [4] for nonlinear problems.
For nonlinear problems, finite element methods (FEM) would be the best way to proceed.
Mangasarian [1] introduced the concept of second- and higher-order duality for nonlinear problems.
In addition, the numerical method becomes very complex for nonlinear problems.
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