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

Class LinearEqualityConstraint

java.lang.Object

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

org.hipparchus.optim.nonlinear.vector.constrained.EqualityConstraint

org.hipparchus.optim.nonlinear.vector.constrained.LinearEqualityConstraint

All Implemented Interfaces:

MultivariateVectorFunction, Constraint, VectorDifferentiableFunction, OptimizationData

public class LinearEqualityConstraint
extends EqualityConstraint
implements OptimizationData

A set of linear equality constraints given as Ax = b.

Since:

3.1

Constructor Summary

Constructors

Constructor	Description
LinearEqualityConstraint(double[][] a, double[] b)	Construct a set of linear equality constraints ax = b.
LinearEqualityConstraint(RealMatrix a, RealVector b)	Construct a set of linear equality constraints ax = b.

Method Summary

Modifier and Type	Method	Description
int	dim()	Returns the dimensionality of the function domain.
RealMatrix	getA()	Get the matrix of linear weights.
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 Details

LinearEqualityConstraint

public LinearEqualityConstraint(RealMatrix a,
 RealVector b)

Construct a set of linear equality constraints ax = b. Represents equations a[i].x = b[i], for each row of a.

Parameters:

a - the matrix of linear weights

b - the vector of constants

LinearEqualityConstraint

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

Construct a set of linear equality constraints ax = b. Represents equations a[i].x = b[i], for each row of a.

Parameters:

a - the matrix of linear weights

b - the vector of constants

Method Details

getA

public RealMatrix getA()

Get the matrix of linear weights.

Returns:

matrix of linear weights

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)