Abstract
Let C be a program written in a formal language in order to be executed by some kind of machinery. A statement about C might be true or false and has the form C:M. For the time being, just consider the statement C:M as a collection of data yielding information about the resources required to execute C; and if we know that C:M is true (or false), we know something useful when it comes to determine the computational complexity of C. Let Γ be a set of statements, and let Γ⊧C:M denote that C:M will be true if all the statements in Γ are true. (The statements in Γ might say something about the computational complexity of the subprograms of C.) If Γ = 0, we will simply write⊧C:M.
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Kristiansen, L., Jones, N.D. (2005). The Flow of Data and the Complexity of Algorithms. In: Cooper, S.B., Löwe, B., Torenvliet, L. (eds) New Computational Paradigms. CiE 2005. Lecture Notes in Computer Science, vol 3526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494645_33
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DOI: https://doi.org/10.1007/11494645_33
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