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Twenty-one time constraints based on extensive fossil evidence for bony fishes (Table 2) were used.
These growth prediction inconsistency-based constraints complement existing regulatory constraints based on gene expression data [ 44, 56, 57].
In order to assess the reliability of every individual time constraint, we conducted a cross-validation, whereby we relaxed constraints one by one, and estimated divergence dates of relaxed constraints based on all other constraints (Fig. 2).
We compare the performances of MaIS-based vs. MIS-based heuristic approaches for CA for different node-degree constraints based on NCR and LCR.
Additional constraints based on literature (e.g. maintenance ATP, maximal photon availability etc). are introduced.
Consequently, a consistent linearization of the kinematic contact constraints, based on the spline interpolation, was derived.
We propose a methodology to find such redundant constraints based on engineering knowledge and physical insight.
Constraints based on ultimate stresses, fatigue damage, blade deflection, resonant frequency, and rotor thrust are considered.
More formally, we present a maximal wireless covering problem with survivability constraints based on network connectivity using binary integer programming.
Temporal constraints based on an acceleration model between nodes, are continuously updated with respect to the observed traffic behaviour.
The paper also introduces a new approach to the enforcement of volume constraints based on the augmented Lagrangian formulation.
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