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To solve this linear system efficiently, we employ a Krylov subspace method preconditioned by the projection method.
The updating laws for designed controller parameters are derived by the projection method, and the tracking error can be reduced as small as possible.
The equivalence rules between operations in physical and spectral spaces are efficiently used to solve the Poisson equation introduced by the projection method.
Furthermore, the italic digit '2' denotes those tags with a single occurrence of the same postpreamble that can be decoded by the projection method (scenario 2) as explained in [21].
Projection methods, that split the computation of the velocity from the pressure, are very popular in fluid dynamics since the boundary errors generated by the projection method are localized mainly near the boundary layers where the incorrect pressure boundary conditions are imposed.
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The difficulty in the treatment of large density difference is resolved by using the projection method.
where { r n } ⊂ ( 0, ∞ ) and J r n are the resolvent of A. Solovov and Svaitor [3] proposed a modified proximal point algorithm which converges strongly to a solution of the equation A − 1 0 by using the projection method.
Even if there are two tags with the same colour involved in a collision, we expect to recover from that particular collision and to acknowledge both tags by applying the projection method proposed in [10].
Solodov and Svaitor [9] in 2000 proposed a modified proximal point algorithm which converges strongly to a solution of the equation 0 ∈ A x by using the projection method.
In this section, we introduce a new class of extended general nonconvex Wiener-Hopf equations and some new special cases from it, and by using the projection method, we establish that the aforesaid class is equivalent with the class of extended general nonlinear regularized nonconvex variational inequalities (3.1).
In this paper, motivated by the projection methods in [3, 11] and the conjugate gradient methods in [13, 14], we propose a new family of conjugate gradient projection methods for solving nonlinear problem (1.1).
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by the projection methods
by the question method
by the projection plane
by the projection model
by the projection algorithm
by the projection matrix
by the cooking method
by the projection operator
by the tidbit method
by the electroformation method
by the projection function
by the projection preconditioner
by the extrapolation method
by the projection constructed
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