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https://github.com/sleekpanther/minimum-weighted-vertex-cover-approximation-algorithm
Approximation Algorithm for the NP-Complete problem of finding a vertex cover of minimum weight in a graph with weighted vertices. Guarantees an answers at most 2 times the optimal minimum weighted vertex cover
https://github.com/sleekpanther/minimum-weighted-vertex-cover-approximation-algorithm
algorithm algorithm-design approximation approximation-algorithms edge-cost graph minimum-weighted-vertex-cover noah noah-patullo noahpatullo np-complete pattullo pattulo patullo patulo pricing-method vertex vertex-cover vertices weighted-vertex-cover
Last synced: about 1 month ago
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Approximation Algorithm for the NP-Complete problem of finding a vertex cover of minimum weight in a graph with weighted vertices. Guarantees an answers at most 2 times the optimal minimum weighted vertex cover
- Host: GitHub
- URL: https://github.com/sleekpanther/minimum-weighted-vertex-cover-approximation-algorithm
- Owner: SleekPanther
- Created: 2017-06-20T15:30:25.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-01-12T21:08:26.000Z (almost 6 years ago)
- Last Synced: 2023-10-20T23:09:41.078Z (about 1 year ago)
- Topics: algorithm, algorithm-design, approximation, approximation-algorithms, edge-cost, graph, minimum-weighted-vertex-cover, noah, noah-patullo, noahpatullo, np-complete, pattullo, pattulo, patullo, patulo, pricing-method, vertex, vertex-cover, vertices, weighted-vertex-cover
- Language: Java
- Homepage:
- Size: 875 KB
- Stars: 6
- Watchers: 3
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# Minimum Weighted Vertex Cover - Pricing Method (Approximation Algorithm)
Approximation Algorithm for the NP-Complete problem of finding a **vertex cover of minimum weight** in a graph with weighted vertices. Guarantees an answers at most **2 times** the optimal minimum weighted vertex cover (2-approximation algorithm, [see references for the proof](#references)).## Problem Statement
- Given an **undirected graph** with each vertex weighted > 0
- Find a vertex cover **S ⊆ V** (where each edge has at least 1 edge in **S**)
- And the vertex cover has the **minimum total weight** (when adding weights of the selected vertices)
#### Graph1#### Graph 1 Optimal Minimum Weighted Vertex Cover
Vertex Cover = a, c
Total Weight = 4+5 = 9#### Graph 1 Algorithm's Weighted Vertex Cover (sub-optimal)
Vertex Cover = a, b, d
Total Weight = 3+4+3 = 10The algorithm **does not find the optimal solution**, but the answer given is **10**, which is less than **twice the optimal value** which would be **2 * 9 = 18**
## Algorithm Solution
The problem is **NP-Complete** but this algorithm is a polynomial-time 2-approximation algorithm.
The answer found is at most **2 times** the weight of the **Optimal** Minimum Weighted Vertex Cover.### Pricing Strategy (Fairness)
- Each edge ***e=(i, j)*** must pay a price Pe > 0 to the vertices **i** and **j**
- **Fairness:** an edge cannot pay more than the remaining weight of either vertex
- **Tight:** a vertex is tight when it has no remaining weight
![](images/pseudocode.png)## Input Graphs
#### Graph 2#### Graph2 Algorithm's Weighted Vertex Cover (optimal)
Vertex Cover = a, d, b
Total Weight = 2+2+4 = 8#### Graph 3
#### Graph 3 Optimal Minimum Weighted Vertex Cover
Vertex Cover = a, c, f
Total Weight = 2+4+9 = 15#### Graph 3 Algorithm's Weighted Vertex Cover (sub-optimal)
Vertex Cover = a, b, c, e
Total Weight = 2+3+4+7 = 16#### Graph 4
#### Graph 4 Algorithm's Weighted Vertex Cover (optimal)
Vertex Cover = d, c, b
Total Weight = 1+1+1 = 3## Usage
- Create a `int[] weights` array
`weights[0]` is the weight of **vertex `0`**, `weights[1]` is the weight of **vertex `1`**, etc.
- *(Optional)* Create `String` array for vertex names (0=a, 1=b, 2=c etc. in the example but this is arbitrary & it works as long as the underlyng graph created with integers is valid)
- Create the graph by adding undirected edges (**only add each edge once**)
*e.g.*
`graph1.add(new Edge(0,1, vertexNames1));;`
`graph1.add(new Edge(0,3, vertexNames1));`
*etc.*
- Vertex names can be left out (A names array is created automatically if none is provided using the String representation of the integer). There's an example for `graph4` which doesn't pass a names array
- **The order of edges added and the names of the vertices can result in a different vertex cover**
- Call `MinimumWeightedVertexCover.findMinimumWeightedVertexCoverApprox(graph1, weights1, vertexNames1);`## References
- [Approximation Algorithms - Kevin Wayne](https://www.cs.princeton.edu/~wayne/kleinberg-tardos/pdf/11ApproximationAlgorithms.pdf#page=25)
- BAD [Vertex Cover Problem - GeeksForGeeks](http://www.geeksforgeeks.org/vertex-cover-problem-set-1-introduction-approximate-algorithm-2/)
**This was a terrible mistake! This algorithm is very different from the approximation algorithm and had me confused on my initial attempt**