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Simulation models support managers in the solution of complex problems.
Coupling the principled treatment of uncertainty with these computational approaches facilitates the solution of complex inverse problems.
Efunda is an information resource for engineering professionals that provides a variety of information to aid in the solution of complex design problems.
In this paper we describe iNEOS, an Internet-based environment which facilitates the solution of complex nonlinear optimization problems.
The emerging paradigm of grid computing provides a powerful platform for the solution of complex and computationally expensive problems.
The method avoids the solution of complex MINLP models, and consequently it is possible to solve large problems.
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The main difficulty is to investigate the conditions for existence and uniqueness of solution of complex-valued nonlinear impulsive differential systems in the context of complex fields.
However, small numerical differences exist between solutions of complex eigenvalue analysis and step-by-step analysis.
Well-designed searching procedures following natural processes have been developed for finding optimized solutions of complex systems.
According to model simulations, obtained by non-equidistant finite differences numerical solutions of complex non-linear equations system, further microreactor design and process optimization are feasible.
In this paper, we present a functional variable method for finding periodic wave and solitary wave solutions of complex nonlinear evolution equations in mathematical physics and engineering sciences.
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