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/****************************************************************************
Copyright 2003, Landmark Graphics and others.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
****************************************************************************/
package edu.mines.jtk.opt;
/**
* Implement a vector supporting linear vector-space methods
* Test your implementation with VectUtil.test().
*
* @author W.S. Harlan
*/
public interface Vect extends VectConst {
/**
* Add a scaled version of another vector to a scaled version of this
* vector.
* [If this==other, then the result should be the same as scaling
* this by (scaleThis+scaleOther)]
*
* @param scaleThis Multiply this vector by this scalar before adding.
* @param scaleOther Multiply the other vector by this scalar before adding.
* @param other The other vector to be multiplied.
*/
void add(double scaleThis, double scaleOther, VectConst other);
/**
* Project another vector onto the space of this vector,
* then scale, and add to a scaled version of this vector.
* (Useful for perturbing one vector with a constrained subspace.)
* This method should give the same result as add(),
* if the other Vect is an instance of the same class as this Vect.
* This operation need not be supported for any any types
* other than this Vect.
*
* @param other The other vector to be projected, scaled, and added.
* @param scaleThis Multiply this vector by this scalar before adding.
* @param scaleOther Multiply the other vector by this scalar before adding.
*/
void project(double scaleThis, double scaleOther, VectConst other);
/**
* Optionally free any resources held by this object.
* Will not be used again. This method can safely do nothing.
*/
void dispose();
/**
* Optionally multiply a vector by the inverse covariance matrix.
* Also called preconditioning.
* A method that does nothing is equivalent to an identity.
* [vect.magnitude() should return the same value as
* vect.dot(((Vect)vect.clone()).multiplyInverseCovariance());
* This should enhance components that should be discouraged
* in the model and suppress components that are preferred.
* This operation slows convergence. This filter must be linear.
* For inversions, you should at least implement a scaling operation that
* correctly weights errors in the data versus the magnitude of the model.]
*/
void multiplyInverseCovariance();
/**
* Optionally apply a hard constraint (such as an inequality)
* to the current vector. This is used only by a non-linear optimization.
* This method can safely do nothing.
*/
void constrain();
/**
* Apply a linear filter that enhances components that should
* be optimized first, and suppresses components of lesser importance.
* Also called post-conditioning.
* This filter prefilters all perturbations of the model and
* speeds convergence on components of most importance in the model.
* The same result can be accomplished by Transform.inverseHessian(),
* but this location may be more convenient. Use this location
* if the conditioning is independent of the Transform and dependent
* on the implementation of the model.
* This method can safely do nothing.
*/
void postCondition();
// Cloneable, but override return type
@Override
Vect clone();
}
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