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The assessed uncertainty of input variables to energy models can subsequently be used to formulate a lower bound of the associated uncertainty of energy model results, under the introduced premise that the output of an energy model cannot be less uncertain than the input.
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Lobo et al. formulated a lower bound on Lmax given a worker allocation, and an algorithm to find an allocation yielding the smallest such lower bound.
The BMA uncertainty assessment for input variables to energy models respects these uncertainties by formulating a lower bound of uncertainty.
This paper examines a multiuser spectrum-allocation problem and formulates a lower bound to the achievable rate of a DSL modem that is tight in the presence of the worst-case interference.
A mathematical model is formulated and a fast method for computing a lower bound on the optimal value is proposed.
It means that I only have an upper bound and not a lower bound.
First, the problem of finding a lower bound on the maximum sampling period that preserves the stability is formulated.
We formulate this problem as an integer-programming problem and present a Lagrangian relaxation method which, for each choice of Lagrangian multipliers, provides a lower bound for the optimal objective function value.
A lower bound for two-server balancing algorithms.
It means I have a lower bound, like I showed here, and the lower bound looks something like x squared.
A lower bound for the first elastic eigenfrequency is obtained.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com