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They can also be used in solving some differential equations (see [12 17]).
The MLSOPT optimization approach can be used in solving complex watershed scale spatial optimization problems effectively.
It is well known that such bilevel program is nonconvex and algorithms for finding global optimal solutions are preferable to be used in solving it.
In this paper we propose a numerical method that can be used in solving the time-dependent nonlinear Schrödinger equation in both real and imaginary times.
Fortunately, BB algorithms [26 28] can often be used in solving discrete and combinatorial optimization problems to reduce the average complexity, when the problem has a finite but very large solution set with certain structures.
AI techniques can be used in solving engineering problems [4, 5, 6, 7, 8, 9, 10, 11] even if the underlying relationships are unknown or the physical meaning is difficult to explain.
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Markov models are used in solving dynamic gates.
It has also been used in solving the Orr-Sommerfeld equation (Scott and Watts1977).
To illustrate the efficiency of the algorithm is used in solving the travel salesman problem.
Stochastic optimal linear control theory is used in solving the problem.
Two numerical schemes, an explicit and a semi-implicit one, are used in solving these equations.
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