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Most of them are based on subspace tracking techniques such as the projection approximate subspace tracking (PAST) of [21] and the orthonormal projection approximate subspace tracking (OPAST) of [22].
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That's because to a large extent, he said, three-dimensional projections approximate the way the human eyes construct 3-D images.
In this paper, we introduce a new viscosity approximation method by using the shrinking projection algorithm to approximate a common fixed point of a countable family of nonlinear mappings in a Banach space.
In this paper, we first introduce a new viscosity approximation method based on the shrinking projection algorithm to approximate a common fixed point of a countable family of nonlinear mappings in a Banach space.
An attractive alternative is to use an approximate projection, in which the velocity is required to be only approximately discretely divergence-free.
Given the linear measurement functional M ∈ R n above, we define the approximate projection Y ˜ ( t ) = M ⊺ X ˜ ( t ).
In particular, we designed an efficient implementation of the MRHSD method based on the approximate projection contraction method.
Second, we design an efficient implementation of the MRHSD method for a type of variational inequality problem based on the approximate projection contraction method.
The stability of the cell-centered, approximate projection is highly sensitive to the method used to update the pressure and compute the pressure gradient.
In this paper, we consider, based on the projection methods, the approximate solvability for a system of generalized relaxed cocoercive nonlinear variational inequalities in Hilbert spaces.
In Section 4, we design an efficient and implementable nonexpansive mapping T for a type of variational problem based on the approximate projection contraction method.
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