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Most mathematical problems can be solved using different methods.
The system of non-linear equations (6) and (8) can be solved using different strategies.
The 3D multi-group neutron diffusion equations are expressed in terms of a sparse linear system which can be solved using different iterative Krylov subspace solvers.
The identification of non-linear systems continues to be a contemporary problem, trying to be solved using different methods, for example in [36] for unknown nonlinear system, given the distribution knowledge of the system inputs.
It is likely, however, that spatial tasks can be solved using different constellations of information (e.g., Dudchenko, 2001).
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Therefore, live VM migration problem is solved using different approaches.
Moreover, the time-domain wave excitation forces on the modules in different regions are solved using different wave spectra.
In particular, the same problem instance is solved using different methods, enabling a comparison of the solutions as well as the methods.
This control problem presents interesting questions to deal with, since the plants are non-linear, multivariable, underactuated and subject to large disturbances due to waves.Three multivariable nonlinear problems are solved using different sequential procedures.
The controlling equations of solid deformation and fluid dynamics are solved using different solvers for solid domain and fluid domain respectively, and their results are exchanged through the fluid solid interface.
Stochastic reaction diffusion can be solved using two fundamentally different approaches: particle-based or voxel-based methods.
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