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This algorithm is based on Korpelevich's extragradient method, the viscosity approximation method, the hybrid steepest-descent method, the regularization method, and the averaged mapping approach to the GPA.
This algorithm is based on Mann's iteration method, Korpelevich's extragradient method, the viscosity approximation method, the hybrid steepest-descent method, and the projection method.
This algorithm is based on Korpelevich's extragradient method, the viscosity approximation method, the hybrid steepest-descent method, and Mann's iteration method.
This algorithm is based on Korpelevich's extragradient method, the viscosity approximation method, the hybrid steepest-descent method [10], and Mann's iteration method.
In this section, we compare three methods, our method, the hybrid method in [1] and the unconstrained method of the same reference.
A new stationary-type iterative method, the hybrid Jacobi iterative method, is developed for solving modal frequency-response problems with non-proportional damping, which is indefinite linear system.
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Our correlation-based stochastic search (CBS) method, the hybrid-CBS algorithm, extends a popular search algorithm for high-dimensional data, the stochastic search variable selection (SSVS) method.
As a sequence-based method, the hybrid-property based method should be compared to other sequence-based method.
The iterative algorithm is based on Korpelevich's extragradient method, the viscosity approximation method [12], Mann's iteration method, and the hybrid steepest-descent method.
Thus, it is necessary to analyze the text with co-occurrence to see the details processed by computational linguistic method, suggesting the hybrid methods may have better performance.
We have compared to two reference methods: The Hybrid Bidiagonalization Regularization (HyBR [6]) and the original sectional method for spatially variant problems [12].
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