weight function

(redirected from Weighted sum)

weight function

[′wāt ‚fəŋk·shən]
(mathematics)
Two real valued functions ƒ and g are orthogonal relative to a weight function σ on an interval if the integral over the interval of ƒ· g ·σ vanishes.
A function defined on the edges of a network or the arcs of a directed network, whose value at each edge or arc is the unique nonnegative integer assigned to that edge or arc.
A function defined on the vertices of a generalized s-t network, whose value at each vertex is a nonnegative integer.
References in periodicals archive ?
The contracting authority will choose the tender with the highest overall score, the weighted sum of the score
In order to do this, there have been implemented two voting methods: Region Based (which is similar to the Region-Growing algorithm) and Weights Based (which uses a weighted sum scheme, followed by a re-clustering algorithm).
Additionally, the researchers developed a polygenic risk score (PRS) through the weighted sum of all known common breast cancer variants, which was also correlated with tumor characteristics and overall survival.
The results obtained from first stage are fused using (i) two parallel face recognition algorithms, namely: weighted sum rule and majority voting, and (ii) a rank combiner module at second and third stage, respectively.
Criterion for topic selection using weighted sum was shown in Table 3.
Severity allocation factor (SAF) denotes the ratio of the weighted sum of emergency room visits and cumulative overdose deaths (2003 to a given year of damages) in county c in a given year to the state-level weighted sum of ER visits and cumulative overdose deaths in the same year.
* methods based on partial evaluation of variants (weighted sum method, basic variant),
In particular, the method is based on the minimization of a properly defined global cost function (GCF) inspired by the lexicographic order rules and named quantized lexicographic weighted sum (QLWS).
For the weighted sum, input I = r exp (i[theta]), where r [greater than or equal to] 0 and 0 [less than or equal to] [theta] < 2[pi]; the complex-valued multistate activation function is defined by
Karoonsoontawong and Waller [27] presented a robust dynamic NDP model with the objective of minimizing the weighted sum of the expected total travel time and expected risk.
Using the linear weighting method [25], the weighted sum is obtained.

Full browser ?