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- \chapter{TArrayUtils}
- Set of utilities for manipulating arrays data.
- Takes 3 arguements for specialization. First one is type of array (can be anything, which is
- accesible by [] operator, e. g. ordinary array, vector, ...), second one is type of array element.
- %Usage example for sorting:
- %\lstinputlisting[language=Pascal]{sortingexample.pp}
- Members list:
- \begin{longtable}{|m{10cm}|m{5cm}|}
- \hline
- Method & Complexity guarantees \\ \hline
- \multicolumn{2}{|m{15cm}|}{Description} \\ \hline\hline
- \verb!procedure RandomShuffle(arr: TArr, size:SizeUint)! &
- O(N)\\ \hline
- \multicolumn{2}{|m{15cm}|}{Shuffles elements in array in random way} \\\hline\hline
- \end{longtable}\chapter{TOrderingArrayUtils}
- Set of utilities for manipulating arrays data.
- Takes 3 arguements for specialization. First one is type of array (can be anything, which is
- accesible by [] operator, e. g. ordinary array, vector, ...), second one is type of array element,
- third one is comparator class (see TPriorityQueue for definition of comparator class).
- Usage example for sorting:
- \lstinputlisting[language=Pascal]{sortingexample.pp}
- Members list:
- \begin{longtable}{|m{10cm}|m{5cm}|}
- \hline
- Method & Complexity guarantees \\ \hline
- \multicolumn{2}{|m{15cm}|}{Description} \\ \hline\hline
- \verb!procedure Sort(arr: TArr, size:SizeUint)! &
- O(N log N) average and worst case. Uses QuickSort, backed up by HeapSort, when QuickSort ends up in
- using too much recursion.\\ \hline
- \multicolumn{2}{|m{15cm}|}{Sort array arr, with specified size. Array indexing should be 0 based.} \\\hline\hline
- \verb!function NextPermutation! \verb!(arr: TArr, size:SizeUint):boolean! &
- Worst case for one call $O(N)$. Going through all permutations takes $O(N!)$ time.\\ \hline
- \multicolumn{2}{|m{15cm}|}{Orders elements on indexes $0, 1, \dots, size-1$ into nearest
- lexikografic larger permutation.} \\\hline
- \end{longtable}
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