Package org.drip.sample.mst

Class CompleteUniformRandomPrim

java.lang.Object
org.drip.sample.mst.CompleteUniformRandomPrim
public class CompleteUniformRandomPrim
extends java.lang.Object
CompleteUniformRandomPrim demonstrates the Ensemble MST Length Analysis of a Complete Graph built using Random Weights, and the Prim Minimum Spanning Forest Generator. 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




Author:
Lakshmi Krishnamurthy

  • Constructor Summary

    Constructors
    Constructor Description
    CompleteUniformRandomPrim()  

  • Method Summary

    Modifier and Type Method Description
    static void main​(java.lang.String[] argumentArray)
    Entry Point

    Methods inherited from class java.lang.Object

    equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • CompleteUniformRandomPrim

      public CompleteUniformRandomPrim()

  • Method Details

    • main

      public static final void main​(java.lang.String[] argumentArray) throws java.lang.Exception
      Entry Point
      Parameters:
      argumentArray - Command Line Argument Array
      Throws:
      java.lang.Exception - Thrown on Error/Exception Situation