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It tells us to go for approximation — more approximate solutions, which find many right answers, but not all right answers.
The Adomian decomposition method (ADM) is one of the most effective methods for constructing analytic approximate solutions.
The Adomian decomposition method (ADM) is one of the most effective methods to construct analytic approximate solutions for nonlinear differential equations.
The Adomian decomposition method (ADM) is one of the most effective methods for constructing analytic approximate solutions of nonlinear differential equations.
Due to the NP-hardness of many graph problems, most of the previous methods offer approximate solutions to measure graph similarity.
We used the commercial IBM ILOG CPLEX optimizer to solve the ILP and instructed it to accept approximate solutions that deviate by at most 5% from the optimum, enabling our executions to end within less than two hours.
In particular, his most recent works concern the existence of both exact and approximate solutions of Ky Fan inequalities in infinite dimensional spaces, the study of their stability, the characterization of the solution sets.
In general, the convergence of the sequence of approximate solutions given by the monotone iterative technique is at most linear.
In general, the convergence of the sequence of approximate solutions given by the monotone iterative technique is at most linear [8, 9].
Among the approximate solutions quoted, quite a few empirical formulations are adequate for most engineering purposes.
Hill-climbing constitutes one of the simplest way to produce approximate solutions of a combinatorial optimization problem, and is a central component of most advanced metaheuristics.
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