Sentence examples for minimization which is from inspiring English sources

This paper addresses the sparse recovery problem by l0 minimization, which is of central importance in the compressed sensing theory.

The F-NMF algorithms are all based on the RQE minimization, which is optimal for white Gaussian noise.

This contravenes the principal meaning of waste minimization, which is to avoid waste generation in the first place (Pongracz 2002).

SVM learning algorithms are based on the structural risk minimization, which is different from the empirical error minimization used in the traditional machine learning algorithms.

In Figure 4(b) "inverse" scenario refers to the simplest method for cross-correlation minimization, which is to generate two OFDM pulses with the following spectral domain properties, (9).

Then, the dense components are fused by the selection method according to the manifestations of defocus, while the sparse components are fused under the frame of CS via fusing a few linear measurements by solving the problem of l1 norm minimization which is based on the two-step iterative shrinkage reconstruction algorithm.

Single-sequence RNA secondary structure predictions, without using comparative genomes, only take into account thermodynamic models and energy minimization, which are not sufficient to achieve the necessary sensitivity and specificity for ncRNA prediction.

Integrating H∞ control and optimal control strategies, the fuzzy controller and observer are formulated by solving a minimization problem, which is to minimize a given quadratic performance function.

We first propose implicit and explicit iterative schemes for solving a constrained convex minimization problem and prove that the methods converge strongly to a solution of the minimization problem, which is also a solution of the variational inequality.

Finally, we reach the following minimization problem which is equivalent to the original problem: (35) (35).

An L 2-norm minimization approach, which is essentially taking the pixel-wise mean of the aligned images, is performed to produce the final HR image.