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Introduction to Parameterized Algorithms, Lecture I

Hausdorff Center for Mathematics via YouTube

Overview

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Dive into the world of parameterized complexity with this introductory lecture on parameterized algorithms. Explore fundamental techniques for designing efficient algorithms, including branching, color coding, kernelization, and width-based dynamic programming. Progress to more advanced topics in discrete optimization, such as LP-guided branching and kernelization, Lenstra's algorithm for integer linear programming in fixed dimension, and methods for solving structured ILPs using Graver bases. Gain a solid foundation in this important area of computer science and mathematics through clear explanations and examples provided by Michal Pilipczuk from the Hausdorff Center for Mathematics.

Syllabus

Michal Pilipczuk: Introduction to parameterized algorithms, lecture I

Taught by

Hausdorff Center for Mathematics

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