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But it fits in with other Trump proposals for deep governmental intrusions into heretofore private activities such as telling businesses where they may or may not locate factories (ironically, he gets around the Constitution on that one by using the federal taxing power that saved Obamacare)!
First of all, we aggregate individual IFMPRs provided by the decision makers to a collective one by using the intuitionistic fuzzy multiplicative weighted geometric aggregation (IFMWGA) operator.
High performance of the modified UKF is illustrated in comparison with the usual one by using the real data obtained from an Earth sensor.
To solve this issue, we transform the objective function into a concave one by using the fractional programming technique developed in [22].
The first one is that we transform the integral problem into a single-point value one by using the integral mean value theorem.
The multiple objectives of the problem lead to a vector performance criterion which is reduced to a scalar one by using the concept of Pareto optimality.
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Strip away the flashy choreography and silky songs, and the musical "Chicago" is about smooth-talking charlatans who try to pull fast ones by using the spotlight to twist facts and plead for redemption.
First, we transform these two geometric problems into algebraic ones by using the barycentric coordinate system.
The resulting criteria are, furthermore, converted into solvable ones, by using the so-called cone complementary linearization algorithm for bi-convex problems.
The vertical axis denotes the original path amplitude, accompanying the recovered ones by using the existing methods (e.g., CS-ROMP and OMP) and our improved algorithm.
The output tracking error dynamic get converged to zero and the parameters of critic neural network (NN) get converged to the optimal ones by using the designed weight tuning law and event-triggering condition.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com