Package org.hipparchus.optim.nonlinear.vector.constrained

Class LinearInequalityConstraint

java.lang.Object

org.hipparchus.optim.nonlinear.vector.constrained.BoundedConstraint

org.hipparchus.optim.nonlinear.vector.constrained.InequalityConstraint

org.hipparchus.optim.nonlinear.vector.constrained.LinearInequalityConstraint

All Implemented Interfaces:

MultivariateVectorFunction, Constraint, VectorDifferentiableFunction, OptimizationData

public class LinearInequalityConstraint
extends InequalityConstraint
implements OptimizationData

Set of linear inequality constraints expressed as \( A x \gt B\).

Since:

3.1

Constructor Summary

Constructors

Constructor	Description
LinearInequalityConstraint(double[][] a, double[] b)	Construct a set of linear inequality constraints from Ax > B
LinearInequalityConstraint(RealMatrix a, RealVector b)	Construct a set of linear inequality constraints from \( A x \gt B\).

Method Summary

Modifier and Type	Method	Description
int	dim()	Returns the dimensionality of the function domain.
RealMatrix	jacobian(RealVector x)	Returns the gradient of this function at (x)
RealVector	value(RealVector x)	Returns the value of this function at (x)

Methods inherited from class org.hipparchus.optim.nonlinear.vector.constrained.BoundedConstraint

dimY, getLowerBound, getUpperBound, overshoot

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.hipparchus.optim.nonlinear.vector.constrained.VectorDifferentiableFunction

gradient, value

Constructor Detail

LinearInequalityConstraint

public LinearInequalityConstraint(RealMatrix a,
                                  RealVector b)

Construct a set of linear inequality constraints from \( A x \gt B\).

Parameters:

a - A matrix linear coefficient vectors

b - A vector of constants

LinearInequalityConstraint

public LinearInequalityConstraint(double[][] a,
                                  double[] b)

Construct a set of linear inequality constraints from Ax > B

Parameters:

a - A matrix linear coefficient vectors

b - A vector of constants

Method Detail

dim

public int dim()

Description copied from interface: VectorDifferentiableFunction

Returns the dimensionality of the function domain. If dim() returns (n) then this function expects an n-vector as its input.

Specified by:

dim in interface VectorDifferentiableFunction

Returns:

the expected dimension of the function's domain

value

public RealVector value(RealVector x)

Description copied from interface: VectorDifferentiableFunction

Returns the value of this function at (x)

Specified by:

value in interface VectorDifferentiableFunction

Parameters:

x - a point to evaluate this function at.

Returns:

the value of this function at (x)

jacobian

public RealMatrix jacobian(RealVector x)

Description copied from interface: VectorDifferentiableFunction

Returns the gradient of this function at (x)

Specified by:

jacobian in interface VectorDifferentiableFunction

Parameters:

x - a point to evaluate this gradient at

Returns:

the gradient of this function at (x)