The term 'structural decomposition' is correct and usable in written English.
You can use it when referring to the analysis of any measure of complexity or structure of a system, and breaking it down into smaller and simpler components. For example, "The structural decomposition of the computer system enabled us to isolate the problem and resolve it quickly."
Primary among the processing techniques that are now available for synthesizing bulk nanocrystalline materials is ball milling, which produces nanostructures by the structural decomposition of large-grained structures as the result of severe cyclic deformation.
In Radulescu et al, model reductions are by and large faithful in both structure and components to the original model, letting kinetics guide structural decomposition and parameter elimination, keeping the most important components and not introducing new ones.
structural decomposition analysis.
In structural decomposition techniques, the determinants are assumed to be independent.
Structural decomposition analysis (SDA) is a widely accepted method developed from the input output model.
Examples of such tools include backward and forward linkages, multipliers, and structural decomposition (McGilvray 1977; Miller and Blair 2009).
Certain governing principles are often visible, such as functional versus structural decompositions (Bechtel and Richardson 1993, Winther 2006).
The structural decompositions are particularly efficient because of the local support property of NURBS.
Based on a series of structural decompositions coupled with numerical analyses, the proposed approach handles both linear and non-linear constraints.
We first give a uniform presentation of the major structural CSP decomposition methods.
Using Possible Conflicts, a structural model decomposition method from the Artificial Intelligence model-based diagnosis (DX) community, we develop a distributed diagnoser design algorithm to build local event-based diagnosers.
