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Many algorithms have been presented for solving nonsmooth convex optimization.
In the literature, few numerical schemes have been presented for solving the Phi-four equation.
Many algorithms have been presented for solving the large-scale problem (1).
In [9], a numerical method based on feed-forward neural networks has been presented for solving Fredholm integral equations of the second kind.
Similar(56)
The following steps are presented for solving Problem II.
In this paper, the sine-cosine wavelet method is presented for solving Riccati differential equations.
A penalty guided artificial immune algorithm is presented for solving such mixed-integer reliability design problems.
A modified form of Coordinate Descent methodology (MCD) is presented for solving process optimization problems.
Integrated assessment model based on analytic hierarchy process (AHP) is presented for solving MCDM problem.
A symplectic discretization method is presented for solving the Nosé Poincaré equations.
A fictitious domain method is presented for solving elliptic partial differential equations using Galerkin spectral approximation.
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