Integer Program Formulation

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Covers the basics of computational complexity, including big O notation and complexity classes.

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Explores extreme points in linear programming and the role of constraints in finding optimal solutions.

Algorithmic Complexity: Definition and Examples

Explores algorithm correctness, worst-case complexity analysis, and efficiency comparison based on input size.

Improved Algorithm: Three-Color Parity Games

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Computational Complexity: Theory and Applications

Explores computational complexity, NP-completeness, and polynomial reductions in theoretical computer science.

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Graph Coloring: Theory and Applications

Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.