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Maximum Boolean satisfiability (max-SAT) is the optimization counterpart of Boolean satisfiability (SAT), in which a variable assignment is sought to satisfy the maximum number of clauses in a Boolean formula.
Since harmonic functions that are continuous to the boundary satisfy the maximum principle [17], we obtain the uniqueness by the standard argument for linear differential equations satisfying the maximum principle.
This technique has a wide application, especially for equations that do not satisfy the maximum principle (cf. [20]).
Here, we only consider the packets that satisfy the maximum end-to-end delay for real-time traffic.
From Table 3, we could find that 18 units provide 814.59 MW reserve to satisfy the maximum 570 MW requirement.
Two design constraints are used to satisfy the maximum principal stress and the average surface hardness requirements of the final product.
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Moreover, for pressureless Euler equations, the velocity satisfies the maximum principle.
Therefore the Suita conjecture essentially asks whether the curvature of the Suita metric satisfies the maximum principle.
There are two quality of service (QoS) constraints that must be satisfied: the maximum end-to-end latency and minimum throughput.
In particular, this implies that ({{Delta}_{mathbb{H}}}) is hypoelliptic (see [22]) and the solution of equation including ({{Delta}_{mathbb{H}}}) satisfies the maximum principle (see [20, 23]).
Here L is a linear second order elliptic operator which satisfies the maximum principle and g is positive and becomes singular uniformly in x as (urightarrow0).
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