Learn · Parameterized Algorithms
Lecture 34 of 50Week 8
ILP for Imbalance Parameterized by Vertex Cover
Prof. Neeldhara Misra and Prof. Saket Saurabh · IIT Gandhinagar IMSC
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- Parameterized Algorithms, IIT Gandhinagar IMSC (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Madras.
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All the lectures
- Invitation to FPT
- Formalizing FPT
- Kernelization: High Degree Rule
- Kernelization: d-Hitting Set
- Kernelization: Crown Reduciton
- Kernelization: Nemhauser-Trotter and Expansion Lemma
- Introduction to Branching
- Analyzing Recurrences
- High-Degree Branching for FVS
- Vertex Cover above LP
- Applications of Vertex Cover above Matching
- Iterative Compression I: Setting Up the Method
- Iterative Compression II: Vertex Cover and Tournament Feedback Vertex Set
- Iterative Compression III: Feedback Vertex Set and 3-Hitting Set
- Iterative Compression IV: Odd Cycle Transversal
- Introduction to Randomized Algorithms via a Simple Randomized FPT Algorithm for FVS
- Color Coding for Longest Path
- Chromatic Coding for Feedback Arc Set on Tournaments
- Random Separation and Subgraph Isomorphism
- Derandomization
- Divide and Conquer and Separator
- Towards Defining Treewidth
- Treewidth and Constructing Treedecomposition of Few Graph Classes
- Structural Properties of Treedecomposition and Win-Win
- Nice Tree Decomposition and Algorithm for Max Weight Independent Set
- Dynamic Programming Algorithm over graphs of Bounded Treewidth
- FPT Appproximation Algorithm for Computing Tree Decomposition - Part 01
- FPT Appproximation Algorithm for Computing Tree Decomposition - Part 02
- FPT Appproximation Algorithm for Computing Tree Decomposition and Applications - Part 01
- FPT Appproximation Algorithm for Computing Tree Decomposition and Applications - Part 02
- Dynamic Programming Over Subsets for Set Cover
- Dynamic Programming Over Subsets for Steiner Tree
- ILP for Envy-Free Allocations and Lobbying
- ILP for Imbalance Parameterized by Vertex Cover
- Important Cuts: Basic
- Important Cuts: Enumeration and Bounds
- FPT Algorithm for Multiway Cut
- FPT Algorithm for Directed Feedback Edge Set
- Algebraic Techniques: Inclusion Exclusion (Coloring)
- Algebraic Techniques: Inclusion Exclusion (Hamiltonian Path)
- Algebraic Techniques: Matrix Multiplication
- Algebraic Techniques: Polynomial Method
- Matroids: Representative Sets
- Matroids: Representative Sets -- Computation and Combinatorics
- Matroids: Representative Sets -- Applications (Paths and Kernels)
- Matroids: Representative Sets -- Applications (Directed Long Cycle)
- Reductions --- An Introduction
- Reductions --- Problems as Hard as Clique I (Clique on Regular Graphs)
- Reductions --- Problems as Hard as Clique (PVC, MCC, MIS)
- Reductions --- Problems as Hard as Clique (Dominating Set, Set Cover)