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On offline version, if the reduce tasks are non-preemptive, we design an approximation algorithm whose worst case ratio is at most max{1+Δ2−1n,Δ}, where Δ= v1vn is the ratio of the fastest speed to the slowest speed.
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The "Chapo Trap House" guys are sincerely concerned with American inequality; at the same time, their most instinctive sympathies seem to fall with people whose worst-case scenario is a feeling of purposelessness.
A method is proposed for designing almost-optimal linear filters with finite impulse response, whose worst-case estimation error is at most twice the lowest achievable one.
A method is proposed for designing almost-optimal linear filters with finite impulse response, whose worst-case filtering error is at most twice the lowest achievable one.
Instantiations of our design pattern can be applied for local model checking and as preprocessors for algorithms whose worst-case running time is exponential.
We emphasize Theseboth PTAS and the gresultsheduling schemes areiencouragingnteed frasthey of weindicate every that slone
The authors show that one can develop simple distributed algorithms whose worst-case throughput is a nonvanishing fraction of the optimal throughput for a wide range of wireless networks.
In Thes case, the complexity of the policy will be.
In this paper, based on the study of [27], we are going to further study the augmented Lagrangian method and develop a new fast proximal ALM-type method with indefinite proximal regularization, whose worst-case convergence rate is (mathcal{O}(1/t^{2})) in a non-ergodic sense.
Thus, the vector x is optimized for a worst case perturbation whose range is determined by the parameter λ, that is, the algorithm is robust to perturbations.
We also give a more practical algorithm whose expected time is better than the worst case time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com