Sentence examples for strict function of the from inspiring English sources

In other words, the user makes the species' distribution a strict function of the variables that are put into the model (e.g., climate, land cover, soil type).

This is particularly true for raft-preferring lipids ("raft lipids", e.g. sphingolipids and sterols), whose domain preference is a strict function of their molecular architecture, and is thus susceptible to disruption by fluorescence labeling.

These new domain contexts for key marker domains of TCS give an upper bound on the number of highly diverged TCS for these different species, in reality the actual figure is lower (depending on how strict the function of the TCS as a sensor plus phosphorelay system is defined).

The relatively great incidence of block failure we report may be a function of the strict definition of failure we applied.

For a two-population model, we derive strict bounds on FST as a function of the frequency M of the allele with highest mean frequency between the pair of populations.

Let ({T colon D subset X to X}) be an operator in a cone normed space ({ X,|cdot|)}) over a solid vector space ({(Y,preceq)}), and let ({E colon D to mathbb{R}_) be a function of the initial conditions of T with a strict gauge function φ of order ({r ge1}) on an interval J. Suppose that T is an iterated contraction at a point ξ with respect to E and with control function ϕ satisfying (2.7).

The problem is formulated as finding solutions to a cost function of the algorithm performing mapping and scheduling under strict constraints.

A strict separation of compartments is essential to ensure the correct mechanical function of the joint.

It follows from Lemma 4.5, Lemma 4.3 v), and Lemma 2.3 that E is a function of the initial conditions of (T^{(N }) with a strict gauge function (varphi_{N}) of order ({r = 2 N + 1}) on J. Since ξ is a root vector of f, then ({E xi) = 0 in J}).

The h-likelihood for a DHGLM is (22) where l(α d ; v d ) is the log density for v d with parameter α d and v d = v d (u d ) for some strict monotonic function of u d.

Therefore a h-likelihood is used and is defined as (20) where l(α; v) is the log density for v with parameter α and v = v u) for some strict monotonic function of u.