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CS-450: Algorithms II
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Lectures in this course (26)
Submodular Function Minimization
Covers submodular functions and their minimization, emphasizing diminishing returns and the Lovász Extension.
Convexity of Lovász Extension
Explores the convexity of Lovász extension and submodular function maximization, focusing on extending functions to convex sets and proving their convexity.
Submodular Maximization
Covers submodular function maximization using the greedy algorithm and its approximation guarantee.
Online Algorithms: Competitive Ratio
Covers online algorithms and competitive ratio in caching strategies to optimize memory usage.
Spectral Graph Theory: Introduction
Introduces Spectral Graph Theory, exploring eigenvalues and eigenvectors' role in graph properties.
Cheeger's Inequalities
Covers Cheeger's inequalities and the combinatorial properties of graphs.
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