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But Dr. Lindzen and Dr. Gray, pointing to what they consider the models' problems with the physics of the atmosphere, say they overestimate possible warming.
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The SV method is tested for both linear and nonlinear model problems with and without discontinuities.
This is done in the framework of one-dimensional steady-state model problems with periodic boundary conditions.
The signal for diffusion weighted magnetic resonance imaging has previously been represented analytically and simulated numerically for a variety of model problems with idealized geometries.
This paper reports the use of simulated annealing to design more efficient fuzzy logic systems to model problems with associated uncertainties.
The concept of stress strength inference plays an important role in modeling problems with respect to engineering fracture mechanics, see, e.g. [1 21].
Applications of the composite grid method to various model problems with complex geometry are used to illustrate the characteristics of the present procedure.
Fundamental properties of the SV method are studied and high-order accuracy is demonstrated for several model problems with and without discontinuities.
The developed method is applied to model problems with known analytical solutions; these experiments indicate second-order spatial and temporal accuracy.
With high reputation in handling non-linear and multi-model problems with little prior knowledge, evolutionary algorithms (EAs) have successfully been applied to design optimization problems as robust optimizers.
For model problems with a linear feature and with a radially symmetric feature, we derive the exact form of the metric, which involves expressions for its eigenvalues and eigenvectors.
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