The phrase "approach to decompose" is correct and usable in written English.
It can be used when discussing a method or strategy for breaking down a complex problem or system into smaller, more manageable parts.
Example: "In our analysis, we will adopt an approach to decompose the data into its fundamental components for better understanding."
Alternatives: "method for breaking down" or "strategy to analyze".
We use this approach to decompose the total correlations into short- (daily) and long-run (quarterly) correlations for the period from 1999 to 2011.
This finding has positive implications for the analysis of concepts as it provides an approach to decompose a program into smaller executable units, each of which captures the behaviour of the program with respect to a domain-level concept.
To do this, we used the approach to decompose LOD (Biljecki et al. 2014).
On the other hand, SPADE uses a lattice-theoretic approach to decompose the search space and uses simple join operations to generate candidate sequences.
Empirical mode decomposition (EMD), developed by Huang et al.[5], provides a data-driven approach to decompose a signal into so-called intrinsic mode functions (IMFs) according to the local oscillation magnitude in the physical domain.
In this case, error-correction serves as a synchrony finder with free parameter k, similar to how "K-means" is a standard unsupervised approach to decompose data into K clusters.
It should be noted that there are several other approaches to decompose the FFT problem, however, they are sub-optimal in means of the number of per-pixel operations and data transfers.
We are currently investigating approaches to decompose the observed network into a family of simultaneously occurring interactions in such a way that the observed interaction abundances are the sum of the direct and indirect interactions over all cell compartments and conditions.
By contrast, previous approaches to decomposing flux distributions into elementary modes [ 23, 24] have relied on first generating the complete set of relevant elementary modes, then calculating a weight distribution among these modes.
Such approach allows to decompose an inference algorithm into separate modules and distribute knowledge base into parts.
The core of this approach is to decompose a CAD model of complex forging die in geometrical features.
