separative

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sep·a·ra·tive

 (sĕp′ə-rā′tĭv, sĕp′ər-ə-, sĕp′rə-)
adj.
Tending to separate or to cause separation.

separative

(ˈsɛpərətɪv; ˈsɛprə-)
adj
tending to separate or causing separation
ˈseparatively adv
ˈseparativeness n

sep•a•ra•tive

(ˈsɛp ər ə tɪv, -əˌreɪ-)

adj.
1. tending to separate.
2. causing separation.
[1585–95; < Late Latin]
sep′a•ra`tive•ly, adv.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Adj.1.separative - (used of an accent in Hebrew orthography) indicating that the word marked is separated to a greater or lesser degree rhythmically and grammatically from the word that follows it
disjunctive - serving or tending to divide or separate
2.separative - serving to separate or divide into parts; "partitive tendencies in education"; "the uniting influence was stronger than the separative"
disjunctive - serving or tending to divide or separate
3.separative - (of a word) referring singly and without exception to the members of a group; "whereas `each,' `every,' `either,' `neither,' and `none' are distributive or referring to a single member of a group, `which' in `which of the men' is separative"
distributive - serving to distribute or allot or disperse
References in periodicals archive ?
We shall consider the noninteracting and interacting cases, separatively. It deserves to mention here that in all figures we selected values for the fixed parameters, which is custom and the observational evidence confirms it, as [mathematical expression not reproducible] [24] or [[OMEGA].sub.D](z = 0) that can be between 0.7 and .75 and H(z = 0) that can be between 60 and 100.
The total inflammatory cells, eosinophils, neutrophils, mononuclear/macrophages, and lymphocytes in BALF fluid was significantly elevated in HDM-challenge mice versus saline control mice as shown in Table 1 (versus control, P < 0.001, P < 0.001, P < 0.01, P < 0.001, P < 0.01, separatively).
Where D[], K and K' denote variance function, the actual sparsity of signal and the estimated sparsity with the proposed method separatively. Normalized error (NE) versus the sparsity of signal is presented in Fig.