gov.sandia.cognition.math.matrix.VectorSpace Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of cognitive-foundry Show documentation
Show all versions of cognitive-foundry Show documentation
A single jar with all the Cognitive Foundry components.
/*
* File: VectorSpace.java
* Authors: Kevin R. Dixon
* Company: Sandia National Laboratories
* Project: Cognitive Foundry
*
* Copyright Jun 23, 2011, Sandia Corporation.
* Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive
* license for use of this work by or on behalf of the U.S. Government.
* Export of this program may require a license from the United States
* Government. See CopyrightHistory.txt for complete details.
*
*/
package gov.sandia.cognition.math.matrix;
import gov.sandia.cognition.annotation.PublicationReference;
import gov.sandia.cognition.annotation.PublicationType;
import gov.sandia.cognition.math.Ring;
/**
* In the Foundry, a VectorSpace is a type of Ring that we can perform
* Vector-like operations on: norm, distances between Vectors, etc.
* @param
* Type of VectorSpace
* @param
* Type of entry for the iteration
* @author Kevin R. Dixon
* @since 3.3.1
*/
@PublicationReference(
author="Wikipedia",
title="Vector space",
type=PublicationType.WebPage,
year=2011,
url="http://en.wikipedia.org/wiki/Vector_space"
)
public interface VectorSpace,EntryType extends VectorSpace.Entry>
extends Ring,
Iterable
{
/**
* Computes the sum of the elements in the vector.
*
* @return The sum of the elements in the vector.
* @since 3.0
*/
public double sum();
/**
* 1-norm of the vector (sum of absolute values in the vector)
* @return 1-norm of the vector, [0,\infty)
*/
public double norm1();
/**
* 2-norm of the vector (aka Euclidean distance of the vector)
*
* @return 2-norm of the vector, [0,\infty)
*/
public double norm2();
/**
* Squared 2-norm of the vector (aka squared Euclidean distance of the
* vector)
*
* @return Squared 2-norm of the vector, [0,\infty)
*/
public double norm2Squared();
/**
* Returns the infinity norm of the Vector, which is the maximum
* absolute value of an element in the Vector.
* @return
* Maximum absolute value of any element in the Vector.
*/
public double normInfinity();
/**
* Returns the p-norm of the Vector with the given power.
* @param power
* Power to exponentiate each entry, must be greater than 0.0,
* Double.POSITIVE_INFINITY
* @return
* p-norm with the given power.
*/
@PublicationReference(
author="Wikipedia",
title="Vector norm, p-norm",
type=PublicationType.WebPage,
year=2011,
url="http://en.wikipedia.org/wiki/Vector_norm#p-norm"
)
public double norm(
final double power);
/**
* The inner product of this vector with the given vector. That is, the
* sum of each element of this vector times the corresponding element in the
* other vector. The same as dotProduct.
*
* @param other
* The Vector with which to compute the dot product with this.
* Must have the same dimensionality as this.
* @return
* The dot product. The value is between 0 and Infinity.
*/
public double dot(
final VectorType other);
/**
* The inner product of this vector with the given vector. That is, the
* sum of each element of this vector times the corresponding element in the
* other vector. The same as dot.
*
* @param other
* The Vector with which to compute the dot product with this.
* Must have the same dimensionality as this.
* @return
* The dot product. The value is between 0 and Infinity.
*/
public double dotProduct(
final VectorType other);
/**
* Computes the angle between two Vectors.
*
* @param other
* Another vector with which to compute the angle. Must be the same
* dimensionality.
* @return
* The angle between the two vectors in [0, PI].
*/
public double angle(
final VectorType other);
/**
* Computes the cosine between two Vectors
*
* @param other
* another vector with which to compute the cosine, must be the
* same dimension as this
* @return cosine between the vectors, [0,1]
*/
public double cosine(
final VectorType other);
/**
* Euclidean distance between this and other,
* which is the 2-norm between the difference of the Vectors
*
* @param other
* Vector to which to compute the distance, must be the same
* dimension as this
* @return this.minus( other ).norm2(), which is [0,\infty)
*/
public double euclideanDistance(
final VectorType other);
/**
* Squared Euclidean distance between this and
* other, which is the 2-norm between the difference of the
* Vectors
*
* @param other
* Vector to which to compute the squared distance, must be the
* same dimension as this
* @return this.minus( other ).norm2Squared(), which is [0,\infty)
*/
public double euclideanDistanceSquared(
final VectorType other);
/**
* Returns the unit vector of this vector. That is, a vector in the same
* "direction" where the length (norm2) is 1.0. This is computed by
* dividing each element buy the length (norm2). If this vector is all
* zeros, then the vector returned will be all zeros.
*
* @return The unit vector of this vector.
*/
public VectorType unitVector();
/**
* Modifies this vector to be a the unit vector. That is, a vector in the
* same "direction" where the length (norm2) is 1.0. This is computed by
* dividing each element buy the length (norm2). If this vector is all
* zeros, then this vector will all zeros.
*/
public void unitVectorEquals();
/**
* Determines if this vector is a unit vector (norm2 = 1.0).
*
* @return
* True if this vector is a unit vector; otherwise, false.
*/
public boolean isUnitVector();
/**
* Determines if this vector is a unit vector within some tolerance for the
* 2-norm.
*
* @param tolerance
* The tolerance around 1.0 to allow the length.
* @return
* True if this is a unit vector within the given tolerance; otherwise,
* false.
*/
public boolean isUnitVector(
final double tolerance);
/**
* Entry into the VectorSpace
*/
public static interface Entry
{
/**
* Gets the value to which this entry points
*
* @return value of the Vector entry
*/
public double getValue();
/**
* Sets the value to which this entry points
*
* @param value
* new value for the Vector at the current index
*/
public void setValue(
final double value);
}
}