SuanShu, a Java numerical and statistical library

com.numericalmethod.suanshu.optimization.constrained.constraint.linear
Class LinearLessThanConstraints

java.lang.Object
  extended by com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearConstraints
      extended by com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearLessThanConstraints
All Implemented Interfaces:
Constraints, LessThanConstraints
Direct Known Subclasses:
UpperBoundConstraints

public class LinearLessThanConstraints
extends LinearConstraints
implements LessThanConstraints

This is a collection of linear less-than-or-equal-to constraints.


 A * x ≤ b
 


Constructor Summary
LinearLessThanConstraints(Matrix A, Vector b)
          Construct a collection of linear less-than or equal-to constraints.
 
Method Summary
 Vector getFeasibleInitialPoint()
          Given a collection of linear less-than-or-equal-to constraints, find a feasible initial point that satisfy the constraints.
 Vector getFeasibleInitialPoint(LinearEqualityConstraints equal)
          Given a collection of linear less-than-or-equal-to constraints as well as a collection of equality constraints, find a feasible initial point that satisfy the constraints.
 LinearGreaterThanConstraints toGreaterThanConstraints()
          Convert the less-than or equal-to constraints to greater-than or equal-to constraints.
 
Methods inherited from class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearConstraints
A, b, concat, dimension, getActiveConstraints, getActiveRows, getConstraints, size, toString
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
 
Methods inherited from interface com.numericalmethod.suanshu.optimization.constrained.constraint.Constraints
dimension, getConstraints, size
 

Constructor Detail

LinearLessThanConstraints

public LinearLessThanConstraints(Matrix A,
                                 Vector b)
Construct a collection of linear less-than or equal-to constraints.

Parameters:
A - the less-than inequality constraints
b - the less-than inequality values
Method Detail

toGreaterThanConstraints

public LinearGreaterThanConstraints toGreaterThanConstraints()
Description copied from interface: LessThanConstraints
Convert the less-than or equal-to constraints to greater-than or equal-to constraints.

Specified by:
toGreaterThanConstraints in interface LessThanConstraints
Returns:
the equivalent greater-than or equal-to constraints

getFeasibleInitialPoint

public Vector getFeasibleInitialPoint(LinearEqualityConstraints equal)
Given a collection of linear less-than-or-equal-to constraints as well as a collection of equality constraints, find a feasible initial point that satisfy the constraints. This implementation solves eq. 11.25 in the reference. The first (n-1) entries consist of a feasible initial point. The last entry is the single point perturbation.

Parameters:
equal - a collection of linear equality constraints
Returns:
a feasible initial point, and the single point perturbation (in one vector)
See Also:
"Andreas Antoniou, Wu-Sheng Lu, "Eq 11.25, Quadratic and Convex Programming," Practical Optimization: Algorithms and Engineering Applications."

getFeasibleInitialPoint

public Vector getFeasibleInitialPoint()
Given a collection of linear less-than-or-equal-to constraints, find a feasible initial point that satisfy the constraints. This implementation solves eq. 11.25 in the reference. The first (n-1) entries consist of a feasible initial point. The last entry is the single point perturbation.

Returns:
a feasible initial point, and the single point perturbation (in one vector)
See Also:
"Andreas Antoniou, Wu-Sheng Lu, "Eq 11.25, Quadratic and Convex Programming," Practical Optimization: Algorithms and Engineering Applications."

SuanShu, a Java numerical and statistical library

Copyright © 2012 Numerical Method Inc. Ltd. All Rights Reserved.