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In the proposed method, the problem of PCW design is first formulated as an optimization problem.
Using Galerkin's method, the problem is reduced to the solution of a system of algebraic equations.
Using the results from PB design and CCD method, the problem of finding a set of microparameters was solved.
Using the operator splitting method, the problem has been decomposed into sub-problems that can be solved more efficiently.
Using the energy-based finite difference method, the problem is reduced to the solution of a system of algebraic equations.
By means of the complex-function method the problem is reduced to a non-homogeneous Dirichlet Riemann boundary value problem, which has been solved in closed form.
Similar(41)
By this defined method, the problems involving hesitation can be easily studied.
ℓ 1 -based alternating direction method The problems posed in (18) or (19) are convex but nonsmooth.
However, unlike classical chromatographic methods, the problem of their robustness evaluation has often been left unaddressed.
In these methods, the problem has been formulated by a projection algorithm, and no other inequality constraint is needed.
The method decomposes the problem into two stages.
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