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Correlation functions are often employed to quantify the relationships among interdependent variables or sets of data.
Independent variables (pH, electron donor concentration and TiO2 amount) have been varied and interdependent variables (aggregate size, aggregate surface vs. volume and acid/base groups distribution) are discussed.
The pH, dilution and R/F ratio have been demonstrated to be interdependent variables that can be manipulated to tailor the porous properties of RF carbon xerogels.
Nowadays, the design of energy efficient and comfortable building results as the solution to a complex optimization that involves a great number of interdependent variables.
Principal component analysis (PCA), also known as proper orthogonal decomposition or Karhunen Loève transform, is commonly used to reduce the dimensionality of a data set with a large number of interdependent variables.
Since bulk porosity and void size distribution (VSD) are interdependent variables, it follows that for constant particle size distribution (PSD) and compaction energy an increase in porosity results in an increase in the mean pore radius, ¯r for a material.
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Reservoir flood control operation (RFCO) is a complex multi-objective optimization problem (MOP) with interdependent decision variables.
[Tsochantaridis/etal/05a] I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun, Large Margin Methods for Structured and Interdependent Output Variables, Journal of Machine Learning Research (JMLR), 6(Sep):1453-1484, 2005.
Factor graph and the associated sum-product algorithm have been widely used in probabilistic modeling of the relationship among interdependent (random) variables or parameters.
In simple terms, the DPI states that given two interdependent random variables A 1 and A 2 and a third one A 3 that only depends on one of them, for example A 2, then A 1 cannot contain more information about A 3 than A 2 does.
In fact, in glycoconjugate vaccines, the length of the polysaccharide (which results in the repetition of minimal immunogenic structures along the polymer), and the degree of carbohydrate loading (number of conjugated glycans) are interdependent relevant variables, which influence the immunogenicity of the vaccine.
More suggestions(14)
interdependent attributes
interdependent characteristics
interlocking variables
interdependent values
interdependent determinants
supportive variables
inter connected variables
independent variables
interrelated variables
co dependent variables
interconnected variables
intertwined variables
interlinked variables
inter related variables
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