Package org.drip.sample.mst
Class CompleteUniformRandomSteele
java.lang.Object
org.drip.sample.mst.CompleteUniformRandomSteele
public class CompleteUniformRandomSteele
extends java.lang.Object
CompleteUniformRandomSteele displays the computed expected MST Length of a Complete Graph built
using U[0,1] Random Weights. The References are:
- Bader, D. A., and G. Cong (2006): Fast Shared Memory Algorithms for computing the Minimum Spanning Forests of Sparse Graphs Journal of Parallel and Distributed Computing 66 (11) 1366-1378
- Chazelle, B. (2000): A Minimum Spanning Tree ALgorithm with Inverse-Ackerman Type Complexity Journal of the Association for Computing Machinery 47 (6) 1028-1047
- Karger, D. R., P. N. Klein, and R. E. Tarjan (1995): A Randomized Linear-Time Algorithm to find Minimum Spanning Trees Journal of the Association for Computing Machinery 42 (2) 321-328
- Pettie, S., and V. Ramachandran (2002): An Optimal Minimum Spanning Tree Algorithm Journal of the ACM 49 (1) 16-34
- Wikipedia (2020): Minimum Spanning Tree https://en.wikipedia.org/wiki/Minimum_spanning_tree
- Module = Computational Core Module
- Library = Graph Algorithm Library
- Project = DROP API Construction and Usage
- Package = Minimum Spanning Tree and Forest Algorithms
- Author:
- Lakshmi Krishnamurthy
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Constructor Summary
Constructors Constructor Description CompleteUniformRandomSteele()
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Method Summary
Modifier and Type Method Description static void
main(java.lang.String[] argumentArray)
Entry PointMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
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CompleteUniformRandomSteele
public CompleteUniformRandomSteele()
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Method Details
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main
public static final void main(java.lang.String[] argumentArray) throws java.lang.ExceptionEntry Point- Parameters:
argumentArray
- Command Line Argument Array- Throws:
java.lang.Exception
- Thrown on Error/Exception Situation
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