Package org.drip.sample.sor
Class DULDecomposition
java.lang.Object
org.drip.sample.sor.DULDecomposition
public class DULDecomposition
extends java.lang.Object
DULDecomposition demonstrates the Decomposition of a Square Matrix into Diagonal, Lower, and Upper
Triangular Matrices. The References are:
- Greenbaum, A. (1997): Iterative Methods for Solving Linear Systems Society for Industrial and Applied Mathematics Philadelphia, PA
- Hackbusch, W. (2016): Iterative Solution of Large Sparse Systems of Equations Spring-Verlag Berlin, Germany
- Wikipedia (2023): Symmetric Successive Over-Relaxation https://en.wikipedia.org/wiki/Symmetric_successive_over-relaxation
- Wikipedia (2024): Successive Over-Relaxation https://en.wikipedia.org/wiki/Successive_over-relaxation
- Young, D. M. (1950): Iterative methods for solving partial difference equations of elliptical type Harvard University Cambridge, MA
- Module = Computational Core Module
- Library = Numerical Analysis Library
- Project = DROP API Construction and Usage
- Package = Successive Over-relaxation Customization/Usage
- Author:
- Lakshmi Krishnamurthy
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Constructor Summary
Constructors Constructor Description DULDecomposition()
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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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DULDecomposition
public DULDecomposition()
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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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