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Currently there are two commonly used methods for solving (N^{2}) like algorithms using GPUs.
Library search is one of the most commonly used methods for solving the inverse problem in current optical scatterometry.
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One widely used method for solving this integral eigenvalue problem is to use finite element (FE) bases for discretizing the eigenfunctions, followed by a Galerkin projection.
In the same manner, the share of firms using methods for problem solving, such as the Failure Mode and Effect Analysis (FMEA) methodology (Stamatis, 2003), rose to 17.3% in 2003 to 20.9% in 2006.
An effective and often easy-to-use method for solving time-inhomogeneous Markov chains was proposed in [9] by using low-dimensional Lie algebras.
Some researchers have used distinct methods for solving some different equations including the Caputo-Fabrizio (CF) fractional derivative (see [1 7, 9, 10] and the references therein) and multi-singular pointwise defined equations [13 16].
However, the problem (1) is in general ill-posed, as its solutions do not depend continuously on the data (A, f, φ), we used stable methods for solving it.
Equation (13) is an ordinary differential equation (ODE) and can be integrated using standard methods for solving ODEs (e.g., Euler or Runge Kutta methods).
A numerical procedure based on this decomposition is designed, using projection methods for solving the incompressible variables and a backward-Euler method for solving the potential variables.
Multi-disciplinary optimization is a branch of engineering which uses optimization methods for solving problems in which the objective function is simultaneously affected by several different factors.
Application of intelligent methods for SR control not only simplifies robot control and improves robot responses during competition, but also encourages engineering students to use intelligent methods for solving real world's problems.
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