Exact(3)
Assume that ( Z 1 ⋆, Z 2 ⋆ ) solves this optimization problem.
As opposed to the universal dual decomposition we present a method that solves this optimization problem by fully exploiting our knowledge of active constraints.
The solution of the occlusion problem as an optimization problem is stated in Section 3.3, and a dynamic programming algorithm that solves this optimization problem is presented in Section 3.4.
Similar(57)
By solving this optimization problem, it has been shown that an optimal reactor length exists.
Note that to optimally select the basis, we need to solve this optimization problem on every snapshot as the matrix J t is recomputed at every time step t.
To solve this optimization problem, the Lagrange method must be used to estimate the optimized values of the equation system, as shown in Eq. (5): nabla J Y)=lambda nabla C X).
As it is difficult to solve this optimization problem directly, an alternate optimization method is used to solve it, which optimizes amplification gains in HD and FD modes in turn until convergence.
We solve this optimization problem with a blockwise descent algorithm.
However, solving this optimization problem is really complicated.
An iterative algorithm was proposed to solve this optimization problem.
A method is therefore developed to solve this optimization problem.
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