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* Move interim and final to report directory * Fix spell checking in pipeline * Fix some make commands in github workflows * Change linting to always succeed github status
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etc | ||
adjunctions | ||
hom | ||
equijoin | ||
monoidal | ||
IEEExplore | ||
Citeseer | ||
a1 | ||
a2 | ||
firstName | ||
peopleRelationHeadings | ||
peopleRelationWithTuple | ||
peopleRelationPopulated | ||
ary | ||
peopleRelationProjection | ||
peopleRelationSelection | ||
productRelationR | ||
productRelationS | ||
productResult | ||
joinRelationR | ||
joinRelationS | ||
naturalJoinResult | ||
nonequijoins | ||
relationalmodel | ||
GHC's | ||
equijoins | ||
gradedmonads | ||
correctnessevaluation | ||
researchstage | ||
lhs2 | ||
theoreticalanalysis | ||
documenttype | ||
secondmarker |
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In this chapter we will first introduce the mathematical concepts used in the construction of relational algebra in \cite{RelationalAlgebraByWayOfAdjunctions} as discrete topics in order to introduce some intuition and context. We will then use all that we covered to explore the evolution of the mathematical descriptions of database systems. Finally, an overview of other academic research used in this project's contributed will be presented. | ||
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\input{report/background/categorytheory.tex} | ||
\input{report/background/relationalmodel.tex} | ||
\input{report/background/databaserepresentation.tex} | ||
\input{background/categorytheory.tex} | ||
\input{background/relationalmodel.tex} | ||
\input{background/databaserepresentation.tex} | ||
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\section{Benchmarking databases}\label{sec:benchmarking} | ||
\section{Expanding the use of adjunctions} |
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\chapter{Conclusion} | ||
\begin{comment} | ||
Conclusions and Future Work | ||
The project's conclusions should sumarise the key insights that have been gained, be they positive or negative. For example, "The use of overloading in C++ provides a very elegant mechanism for transparent parallelisation of sequential programs", or "The overheads of linear-time n-body algorithms makes them computationally less efficient than O(n log n) algorithms for systems with less than 100000 particles". Avoid tedious personal reflections like "I learned a lot about C++ programming...". It is common to finish the report by listing ways in which the project can be taken further. This might, for example, be a plan for doing the project better if you could do a re-run, turning the project deliverables into a more polished end product, or extending the project into a programme for an MPhil or PhD. | ||
The project's conclusions should summarise the key insights that have been gained, be they positive or negative. For example, "The use of overloading in C++ provides a very elegant mechanism for transparent parallelisation of sequential programs", or "The overheads of linear-time n-body algorithms makes them computationally less efficient than O(n log n) algorithms for systems with less than 100000 particles". Avoid tedious personal reflections like "I learned a lot about C++ programming...". It is common to finish the report by listing ways in which the project can be taken further. This might, for example, be a plan for doing the project better if you could do a re-run, turning the project deliverables into a more polished end product, or extending the project into a programme for an MPhil or PhD. | ||
\end{comment} |
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