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\newglossaryentry{symb:v0a}{name={\(\{_{i}^{\alpha}\}\)},description={vector with \(\alpha\) in \(i^\text{th}\) row and \(0\) otherwise},sort={vector zero},text={}}
\newglossaryentry{symb:v0a}{name={\(\{_{i}^{\alpha}\}\)},description={vector with \(\alpha\) in \(i^\text{th}\) row and \(0\) otherwise},sort={ai},text={}}
\newglossaryentry{symb:vout}{name={\(\Out(\_)\)},description={variables modified by \(\_\)},sort={out},text={}}
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\newglossaryentry{symb:vrep}{name={\(M \xleftarrow{j} V\)},description={replace in matrix \(M\) the \(j^\text{th}\) column by \(V\)},sort={matrix replace vector},text={}}
In other words, complexity classes\index{complexity classes} are described independently of notions of time or space related to a machine's definition.
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For example, polynomial time complexity\ccxi{p} has been thoroughly examined under these terms.
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The \ndx{Cobham–Edmonds's Thesis}~\cite{cobham1965,edmonds1965} relates polynomial time class with the class of feasible functions\footnote{
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The \ndx{Cobham-Edmonds's Thesis}~\cite{cobham1965,edmonds1965} relates polynomial time class with the class of feasible functions\footnote{
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The Cobham-Edmonds Thesis asserts that the time complexities in any two \enquote{reasonable and general} models of computation are polynomially related;
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that is, a problem has time complexity \(t\) in some reasonable and general model of computation
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if and only if it has time complexity poly(\(t\)) in the model of single-tape \ndx{Turing Machine}s~\cite[p. 33]{goldreich2008}.}.
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