Sentence examples for sparse problem from inspiring English sources

As discussed in the previous section, the above problem can be cast as a group sparse problem.

At each node in the search path, a relaxed problem and a sparse problem are solved and a constraint is added to the relaxed problem.

For this sparse problem, our Weighted MPLE and Modified TV MPLE methods maintain the boundary of the invalid region and appear close to the true solution.

To overcome the data sparse problem in collaborative filtering, structural similarity between users [18] and objects based on bipartite network model [10] were proposed.

However, through these methods, self-adaptive stepsize at each iteration can be achieved, most formats of them are becoming more complex, it is difficult to apply them to some practical problems, and this needs considerable time complexity, especially for the large-scale setting and sparse problem.

To solve this sparse problem, the SP-CAF algorithm uses an iterative optimization technique called orthogonal matching pursuit (OMP [26] that delivers an approximated solution of the following problem: r ̂ ( τ 0 ) = min | | r ( τ 0 ) | | 0, s. t. | | A × r ( τ 0 ) - b ( τ 0 ) | | 2 ≤ ρ (9).

Furthermore, a highly sparse problem-dependent preconditioner is developed to significantly reduce the number of iterations used by the iterative solvers.

The sparse problems provide incumbent solutions.

Numerical experiments on large arbitrarily sparse problems taken from the engineering finite elements (f.e).

This example is given to show the performance of two new methods on the large sparse problems.

This property is called "group sparsity" or "joint sparsity," and many literature have considered these new sparse problems [1 6].