Sentence examples for minimization solution from inspiring English sources

First, a qualitative analysis is performed to identify the sources of wastes and to derive recipe-level waste minimization solution.

It is clear that in this case the BER minimization solution also lies between the theoretical bounds.

By weighting the relative importance of the two objectives, the differences with respect to the base cost minimization solution can be ascertained.

Using a source penalty term for regularization and an iterative minimization solution based on the L1 norm to shrink the source permissible regions was successful for achieving the reconstruction of a few localized sources [ 17].

Then, three variants of solving the regression problem are considered, namely least squares and ℓ 1 and ℓ 2 norm minimization solutions.

Therefore, in this section, we propose an improved joint sparse representation model which firstly replaces ℓ0-norm minimization with ℓ1-norm minimization to avoid the parameter K selection problem and then adopts the low-rank matrix recovery strategy to seek the common patterns based on the characteristics of the ℓ1-norm minimization solutions.

DuOpt is compared with the sequential unconstrained minimization (SUMT) solution technique on randomly generated problem instances and is observed to solve the problem two orders of magnitude faster on average than SUMT.

Hence, l2-norm error minimization favors solutions with many small non-zero entries rather than the sparse solutions having the fewest possible non-zero entries [4].

(3.13) Arguments similar to those used in Step 3 and Step 4 show that the above minimization has a solution (u_{lambda}geq u_{mu}), which is also a weak solution of problem (1.13).

Since it is a minimization problem, a solution with high fitness function value is an optimal solution.

Then, using Tychonov regularization, we obtain the minimal norm solution by a net of solution for some minimization problem.