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Structural Decomposition Techniques: Sense and Sensitivity
Structural decomposition techniques are widely used to break down the growth in some variable into the changes in its determinants. In this paper, we discuss the problems caused by the existence of a multitude of equivalent decomposition forms which are used to measure the contribution of a specific determinant.
Bart Los, Erik Dietzenbacher
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A Methodology for Structured Database Decomposition
IEEE Transactions on Software Engineering, 1980We present a methodology for structured database decomposition based on the relational data model. It is argued that in the distributed database environment, structured database decomposition is attractive both for efficiency and for database security considerations.
Shi-Kuo Chang, Wu-Haung Cheng
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Structure-Preserving Hierarchical Decompositions
Theory of Computing Systems, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
FINOCCHI, Irene, PETRESCHI, Rossella
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Morphological structuring image decomposition
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991Two major structuring element decomposition techniques are compared, and the superiority of the two pixel decomposition techniques over the cellular decomposition technique is shown in terms of the number of pipeline stages. As for the general structuring function decomposition, to the authors' knowledge, there is no efficient algorithm that has been ...
Xinhua Zhuang +2 more
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Structural Decomposition Analyses with Dependent Determinants
Structural decomposition techniques are used to break down the changes in one variable into the changes in its determinants. Typically, these determinants are assumed to be independent. Using the decomposition of value added growth as a prototype example,
Bart Los, Erik Dietzenbacher
exaly +2 more sources
Energy Economics, 2009
Abstract We combine Structural Decomposition Analysis (SDA) and Structural Path Analysis (SPA) in order to examine the temporal changes within a full production chain perspective. To our knowledge this work constitutes the first formulation of what we call Structural Path Decomposition (SPD). SPD provides noteworthy insight in two instances: first it
Manfred Lenzen, Richard Wood
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Abstract We combine Structural Decomposition Analysis (SDA) and Structural Path Analysis (SPA) in order to examine the temporal changes within a full production chain perspective. To our knowledge this work constitutes the first formulation of what we call Structural Path Decomposition (SPD). SPD provides noteworthy insight in two instances: first it
Manfred Lenzen, Richard Wood
exaly +2 more sources
2002
In this chapter we will obtain a decomposition theorem for general graphs similar to that obtained in Chap. 11 for minimal counterexamples to the Beutelspacher-Hering Conjecture. That is, we will partition V (G) into sets D1,..., D ι and S where the D i are “dense clique-like” sets and all the vertices in S are sparse.
Michael Molloy, Bruce Reed
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In this chapter we will obtain a decomposition theorem for general graphs similar to that obtained in Chap. 11 for minimal counterexamples to the Beutelspacher-Hering Conjecture. That is, we will partition V (G) into sets D1,..., D ι and S where the D i are “dense clique-like” sets and all the vertices in S are sparse.
Michael Molloy, Bruce Reed
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The RAS Structural Decomposition Approach
2002Technology and trade are widely considered to be significant driving forces of economic growth and have been subject to numerous studies. The input-output framework is a useful tool in this respect, because it coherently integrates information on the production technologies of the sectors and on the import and export relations.
Dietzenbacher, Erik, Hoekstra, R.
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Morphological structuring function decomposition
Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003The author attempts to solve the structuring function decomposition problem where the structuring function refers to the gray scale structuring element. A morphologically realizable representation for the structuring function that reduces the structuring function decomposition into a series of binary structuring element decompositions is presented ...
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