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Programming Assignments for Algorithm Specialization (4 Courses) offered by Stanford University via the Coursera network

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Name		Name	Last commit message	Last commit date
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.idea		.idea
files		files
venv		venv
.gitattributes		.gitattributes
1-karatsuba-multiplication.py		1-karatsuba-multiplication.py
2-merge-sort-count-inversions.py		2-merge-sort-count-inversions.py
3-quick-sort-count-pivots.py		3-quick-sort-count-pivots.py
4-karger-algorithm-count-min-cuts.py		4-karger-algorithm-count-min-cuts.py
README.md		README.md

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Algorithm-Specialization

Programming Assignments and Labs for Algorithm Specialization (4 Courses) offered by Stanford University via the Coursera network

Topics

Introduction (Grade school multiplication vs Karatsuba multiplication)
Asymptotic analysis (Big Oh, Big Omega, and Big Theta)
Divide and Conquer paradigm
Merge sort algorithm
The master theorem
Randomized algorithm design
Quick sort algorithm
Graph concepts (edges, vertices. cuts, applications)
Contraction algorithm (Karger's algorithm)

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Programming Assignments for Algorithm Specialization (4 Courses) offered by Stanford University via the Coursera network

graph-algorithms sorting-algorithms pathfinding-algorithm divide-and-conquer randomized-algorithms asymptotic-analysis

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