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I found myself thinking of Hamlet's remark about Denmark being a prison: "I could be bounded in a nutshell and count myself a king of infinite space, were it not that I have bad dreams".
Hytner has rightly paid much attention to the line "I could be bounded in a nutshell and count myself the king of infinite space were it not that I have bad dreams".
McEwan's garrulous and unnamed Hamlet could have taken his cue from any number of lines from the play, but "Oh God, I could be bounded in a nutshell and count myself a king of infinite space – were it not that I have bad dreams" describes his confinement particularly well.
And Tennant, as anyone familiar with his earlier work with the RSC would expect, has no difficulty in making the transition from the BBC's Time Lord to a man who could be bounded in a nutshell and count himself a king of infinite space.
Michael Billington in the Guardian gives the play four stars, arguing that Tennant has no difficulty making the transition from the BBC's Time Lord to Shakespeare's Hamlet, a man "who could be bounded in a nutshell and count himself a king of infinite space".
Without loss of generality, we can assume is transmitted, therefore the block probability of error could be bounded by (21).
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And could be bounding up the leaderboard like a hero right this very minute, having carded 14 bird... OK, alright, no.
There we were, a mixed group of Democrats, Republicans, Greens, and Libertarians, meeting to discuss our political differences over several mugs of caffeine, a lone raspberry smoothie, and a table that could easily be bounded by even a sub-par athlete.
Indeed, using the relationship (4.16), (4.23) and (4.25), we could prove that is bounded from below; that is, there exists a positive constant such that.
If the parameter space is bounded, or could be outside the parameter space, the corresponding signal would not exist, and the corresponding subjective score would not exist.
(Although, as we noted earlier, if (Omega ) is bounded, we could add (|z|^2) to (phi ) and obtain a solution satisfying an (L^2) estimate).
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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