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thesis.tex
31
thesis.tex
@@ -14882,22 +14882,21 @@ headings.
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% might be considered as a significant advantage of $\LLL$ over $\LLL'$.
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If the `operations' we are asking about are ordinary first-order
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functions --- that is, both their inputs and outputs are of ground
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type (strings, arbitrary-size integers etc.)\ --- then the situation
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is easily summarised. At such types, all reasonable languages give
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rise to the same class of programmable functions, namely the
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Church-Turing computable ones. As for complexity, the runtime of a
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program is typically analysed with respect to some cost model for
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basic instructions (e.g.\ one unit of time per array access).
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Although the realism of such cost models in the asymptotic limit can
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be questioned (see, e.g., \citep[Section~2.6]{Knuth97}), it is broadly
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taken as read that such models are equally applicable whatever
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programming language we are working with, and moreover that all
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respectable languages can represent all algorithms of interest; thus,
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one does not expect the best achievable asymptotic run-time for a
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typical algorithm (say in number theory or graph theory) to be
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sensitive to the choice of programming language, except perhaps in
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marginal cases.
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functions, that is both their inputs and outputs are of ground type
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(strings, arbitrary-size integers etc), then the situation is easily
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summarised. At such types, all reasonable languages give rise to the
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same class of programmable functions, namely the Church-Turing
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computable ones. As for complexity, the runtime of a program is
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typically analysed with respect to some cost model for basic
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instructions (e.g.\ one unit of time per array access). Although the
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realism of such cost models in the asymptotic limit can be questioned
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(see, e.g., \citet[Section~2.6]{Knuth97}), it is broadly taken as read
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that such models are equally applicable whatever programming language
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we are working with, and moreover that all respectable languages can
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represent all algorithms of interest; thus, one does not expect the
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best achievable asymptotic run-time for a typical algorithm (say in
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number theory or graph theory) to be sensitive to the choice of
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programming language, except perhaps in marginal cases.
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The situation changes radically, however, if we consider
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\emph{higher-order} operations: programmable operations whose inputs
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