Package org.drip.sample.optimizer
Class KKTRegularityConditions
java.lang.Object
org.drip.sample.optimizer.KKTRegularityConditions
public class KKTRegularityConditions
extends java.lang.Object
KKTRegularityConditions carries out the Regularity Checks satisfied by the Optimizing Variate for a
Constrained KKT Optimization Problem. The References are:
- Boyd, S., and L. van den Berghe (2009): Convex Optimization Cambridge University Press Cambridge UK
- Eustaquio, R., E. Karas, and A. Ribeiro (2008): Constraint Qualification for Nonlinear Programming Federal University of Parana
- Karush, A. (1939): Minima of Functions of Several Variables with Inequalities as Side Constraints University of Chicago
- Kuhn, H. W., and A. W. Tucker (1951): Nonlinear Programming Proceedings of the Second Berkeley Symposium
- Ruszczynski, A. (2006): Nonlinear Optimization Princeton University Press Princeton NJ
- Module = Computational Core Module
- Library = Numerical Optimizer Library
- Project = DROP API Construction and Usage
- Package = Lagrangian/KKT Necessary Sufficient Conditions
- Author:
- Lakshmi Krishnamurthy
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Constructor Summary
Constructors Constructor Description KKTRegularityConditions()
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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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KKTRegularityConditions
public KKTRegularityConditions()
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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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