Sentence examples for advantages for solving from inspiring English sources

From this study, we found that collaborative environments have advantages for solving analytical problems, especially when sharing ideas and findings.

Stochastic optimization methods may offer several advantages for solving global optimization problems and, until now, some meta-heuristics have been tested for modeling phase equilibrium data.

Founded on the mechanism of natural genetics and Darwinian principles of evolution and natural selection, this novel algorithm showed strong capabilities and advantages for solving a wide range of problems as introduced in [5].

Compared to the traditional methods (e.g., marker-particle methods), the proposed PFEM not only has very good accuracy, but also poses very mild restrictions on the numerical stability, and thus it has significant advantages for solving this type of open curve evolution problems with applications in the simulation of solid-state dewetting.

Extensive empirical results confirm that POBP has the following advantages for solving the big topic modeling problem when compared with recent state-of-the-art parallel LDA algorithms on multi-processor architectures: (1) high accuracy, (2) high communication efficiency, (3) high speed, and (4) constant memory usage.

It is shown that the cell average scheme enjoys the major advantage of simplicity for solving combined problems over other existing schemes.

The major advantage of presented solutions for solving the vibration characteristics of composite laminated doubly-curved shells of revolution is no need to change the mathematical model or the displacement functions.

The results show the advantages of the proposed approach for solving both problems.

The advantages of using GA techniques for solving large optimization problems are its ability to solve multidimensional, non-differential, non-continuous, and even nonparametric problems [291].

The problem of transferability is addressed in the context of CPNs, emphasising the advantages of use of CPNs for solving the problem.

We introduce the knapsack problem, discusses the current knapsack problem several intelligent algorithm is more effective (simulated annealing algorithm, ant colony algorithm, taboo search method), a simple illustration of their solution process, respectively, and pointed out their advantages and disadvantages the prospects for solving knapsack problem raised outlook.