'General algorithm design paradigm' presentation slideshows

Sorting

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Chapter 5 Fundamental Algorithm Design Techniques

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Merge Sort

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Divide-and-Conquer

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Merge Sort

7 2 ? 9 4 ? 2 4 7 9. 7 ? 2 ? 2 7. 9 ? 4 ? 4 9. 7 ? 7. 2 ? 2. 9 ? 9. 4 ? 4. Merge Sort. Divide-and conquer is a general algorithm design paradigm: Divide : divide the input data S in two disjoint subsets S 1 and S 2

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Chapter 11: Sorting, Sets and Selection

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Data Structures Lecture 9

Fall 2010. Data Structures Lecture 9. Fang Yu Department of Management Information Systems National Chengchi University. 7 2 ? 9 4 ? 2 4 7 9. 7 ? 2 ? 2 7. 9 ? 4 ? 4 9. 7 ? 7. 2 ? 2. 9 ? 9. 4 ? 4. Fundamental Algorithms.

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Quick Sort and Merge Sort

Quick Sort and Merge Sort. Fei Chen CSCI2100B Data Structures Tutorial 11. Quick Sort. Efficient sorting algorithm Example of Divide and Conquer algorithm Two phases Partition phase Divides the work into half Sort phase Conquers the halves!. Quicksort. Partition Choose a pivot

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Chapter 8 Sorting

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Divide-and-Conquer

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Divide-and-Conquer

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Divide-and-Conquer

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Divide-and-Conquer

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Merge Sort

7 2 ? 9 4 ? 2 4 7 9. 7 ? 2 ? 2 7. 9 ? 4 ? 4 9. 7 ? 7. 2 ? 2. 9 ? 9. 4 ? 4. Merge Sort. Divide-and conquer is a general algorithm design paradigm: Divide : divide the input data S in two disjoint subsets S 1 and S 2

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Divide-and-Conquer

647 views • 18 slides

Merge Sort

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Part-G1 Merge Sort

7 2 ? 9 4 ? 2 4 7 9. 7 ? 2 ? 2 7. 9 ? 4 ? 4 9. 7 ? 7. 2 ? 2. 9 ? 9. 4 ? 4. Part-G1 Merge Sort. Divide-and conquer is a general algorithm design paradigm: Divide : divide the input data S in two disjoint subsets S 1 and S 2

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The Greedy Method

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Merge Sort

7 2 ? 9 4 ? 2 4 7 9. 7 ? 2 ? 2 7. 9 ? 4 ? 4 9. 7 ? 7. 2 ? 2. 9 ? 9. 4 ? 4. Merge Sort. Divide-and conquer is a general algorithm design paradigm: Divide : divide the input data S in two disjoint subsets S 1 and S 2

260 views • 9 slides