Sentence examples for descent process from inspiring English sources

Exact(7)

Our approach is inspired by designing optimized projections by using shrinkage process in [21] and gradient descent process in [22].

The description of the identity by descent process and the effect on genome wide thresholds are contained in the following section.

In other words, each time that N increases, new estimations (hat {sigma }_{s}) and (hat {mathcal {X}}_{0,s}) made by gradient descent process are obtained.

The steepest descent process for minimization of the functional E is the following gradient flow: ∂ϕ ∂t = μ [ Δϕ − div div ( g p ∇ ϕ | ∇ ϕ | ) + ν g p δ , (6). where Δ is the Laplacian operator.

It is interesting to note from numerical results that for the present crack model in the ZFC activation process, the crack is easily propagate and grow with the applied field increases, and that in the field descent process of either the ZFC case or FC case, the crack generally does not propagate.

A "soul descent" or "dark night of the soul" is sometimes diagnosed as clinical depression, for indeed, on the surface of things, the descent process can exhibit signs associated with depression.

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Similar(53)

These expressions yield explicit formulas for the map functions, coincidence functions and distributions of the identity-by-descent process, giving exact results for a class of models that better model observed biological data.

Still, it is of interest to know what the map function is for the Erlang renewal models, and we will use it below to describe the identity-by-descent process.

Science teachers can use examples and concepts from evolutionary medicine to teach the three concepts central to evolution: common descent, the processes or mechanisms of evolution, and the patterns produced by descent with modification.

The cell theory implies continuous descent; biological processes do not begin de novo but rather unfold within this living context.

Typically, batches of input output data collected from the system are used to feed directly a gradient descent optimization — no process model is used.

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