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The results of mathematical model problems show the effect of these improving strategies.
Stability analyses for two three-dimensional model problems show that the algorithm remains stable for bodies of any mass when applied to the relevant model problems.
Applications of the algorithm to model problems show that the algorithm provides solutions more accurate than those obtained with static grids.
Applications to 1S0 neutron-proton elastic scattering data and to potential model problems show them to be efficient and in some cases superior to the Newton-Raphson (NR) and Levenberg-Marquardt (LM) methods.
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Finally, we apply our method to three model problems showing that complex hp-adaptive grids can be obtained directly from a uniform coarse grid.
Numerical results for a model problem show that the new preconditioner is more efficient than those recently considered in the literature.
Numerical calculations for a two-dimensional elliptic model problem show that the homogenized form of the equations is very useful in the design of coarse grid operators for the multigrid method.
The results of running the proposed model on the test problems show that the proposed intensive scheme is able to coordinate SC.
By testing four model problems, he showed that the best migration rate is between 5% to 10% of the sub-population of chromosomes and the best convergence results appear when about 10% from each sub-population was exchanged every 5 10 generations.
A latent growth model of childhood conduct problems showed a decreasing trend from grades K to 5.
A traditional partitioned (TP) scheme using a Dirichlet Neumann coupling for the same model problem is shown to be unconditionally unstable if the added mass of the fluid is too large.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com