The phrase "a set of constrains" is not correct; it should be "a set of constraints." You can use it when referring to a collection of limitations or restrictions that apply to a particular situation or context.
Example: "In our project, we need to work within a set of constraints that include budget limitations and time restrictions."
Alternatives: "a collection of limitations" or "a series of restrictions."
This section derives the schedulability analysis of a set of constrained-deadline fork-join tasks onto a homogeneous multicore platform.
A task set with four tasks is used where one of the tasks is decomposed into a set of constrained-deadline sub-tasks.
Decomposition-based techniques ([9,10,12]) traditionally convert tasks with density greater than one into a set of constrained-deadline sequential sub-tasks, each of which with density no greater than one.
end{aligned} (34) Substituting system (34) along with the equation (32) into (B) and collecting the coefficient of the same power (varphi^{i}), we can obtain a set of constraining equations for (a_{i}) and (b_{i}).
Hence the solution of (B) can be written begin{aligned} &F ( xi ) = a_{0} + a_{1} G + a_{2} G^{2}, & H ( xi ) = b_{0} + b_{1} G.end{aligned} (28) Substituting system (28) along with equation (26) into (B) and collecting the coefficient of the same power (G^{i}) leads to a set of constraining equations for (a_{i}) and (b_{i}).
LP is a method of maximizing or minimizing a linear equation (called the objective function) subject to a set of constraining linear equations and inequalities.
Hypothesis testing was done by computing best trees and per site likelihoods with RAxML (mtRev+G+I) for a set of constrained trees.
RSCNs are built on original stochastic configuration networks with weighted least squares method for evaluating the output weights, and the input weights and biases are incrementally and randomly generated by satisfying with a set of inequality constrains.
The dimension reduction using RCCE is performed by specifying a set of represented (constrained) species, which in this study is selected using a new Greedy Algorithm with Local Improvement (GALI) (based on the greedy algorithm).
