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PLI was designed to solve this problem.
A computational algorithm is designed to solve this PDE.
A hybrid tabu search algorithm involving several neighborhood search strategies was designed to solve this problem.
We examine various feature combinations and several machine learning strategies designed to solve this problem.
Thereafter, a bilevel multi-objective Particle Swarm Optimization Algorithm (MOBLPSO) is designed to solve this model.
A decomposition-based firefly algorithm is designed to solve this multi-objective optimization problem.
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In this paper, a column generation algorithm is designed to solve the linear programming relaxation of this problem.
Open Collective is designed to solve those problems.
"Content platforms" are emerging that are designed to solve precisely this problem.
We describe the GeoClaw software that has been designed to solve problems of this nature, consisting of open source Fortran programs together with Python tools for the user interface and flow visualization.
Departing from a numerical method designed to solve ordinary differential equations, in this manuscript we extend such approach to solve problems involving fuzzy partial differential equations.
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