Sentence examples for is suitable for problem from inspiring English sources

The method is suitable for problem variants with generalized precedence relations or uncertain/variable durations.

Thus, with its mainly inductive approach qualitative research is suitable for problem identification, hypothesis generation, theory formation and concept development [ 4].

We show that this high-order numerical framework, previously used for simulations of fluid flows, is suitable for problems involving large deformations in elastic-plastic solids as well.

Unlike previous fast techniques based on iterative solvers, the present algorithm directly constructs a compressed factorization of the inverse of the matrix; thus it is suitable for problems involving relatively ill-conditioned matrices, and is particularly efficient in situations involving multiple right hand sides.

We will see how this method is suitable for problems with a large number of constraints.

The method is suitable for problems with infinite domains, as those of fluid flows around obstacles, because the fundamental solutions satisfy conditions that do not involve the presence of a fictive boundary at great distance.

On the other hand, local modeling provides a description of the system by combining several models pertaining to different operating regimes, and is suitable for problems where one cannot assume that a unique statistical distribution underlies the system.

In particular, it is suitable for problems involving multi-dimensional genomic data (profiling multiple variables on the same set of samples) and independent priors identifying known relationships between the variables (e.g. miRNA-gene and gene gene relationships).

The methodology we present here can also be suitable for problems in the 2-D and 3-D cases, and a discrete scheme with various spectral methods and different temporal discretizations will be considered in our future work.

The first is an exact algorithm based on dynamic programming that is suitable for small problem instances.

The second is an approximate anytime algorithm based on the branch and bound approach that is suitable for large problem instances with many robots.