javax.vecmath
Class GVector

java.lang.Object
  extended by javax.vecmath.GVector
All Implemented Interfaces:
java.io.Serializable, java.lang.Cloneable

public class GVector
extends java.lang.Object
implements java.io.Serializable, java.lang.Cloneable

A double precision, general, dynamically-resizable, one-dimensional vector class. Index numbering begins with zero.

See Also:
Serialized Form

Constructor Summary
GVector(double[] vector)
          Constructs a new GVector from the specified array elements.
GVector(double[] vector, int length)
          Constructs a new GVector of the specified length and initializes it by copying the specified number of elements from the specified array.
GVector(GVector vector)
          Constructs a new GVector from the specified vector.
GVector(int length)
          Constructs a new GVector of the specified length with all vector elements initialized to 0.
GVector(Tuple2f tuple)
          Constructs a new GVector and copies the initial values from the specified tuple.
GVector(Tuple3d tuple)
          Constructs a new GVector and copies the initial values from the specified tuple.
GVector(Tuple3f tuple)
          Constructs a new GVector and copies the initial values from the specified tuple.
GVector(Tuple4d tuple)
          Constructs a new GVector and copies the initial values from the specified tuple.
GVector(Tuple4f tuple)
          Constructs a new GVector and copies the initial values from the specified tuple.
 
Method Summary
 void add(GVector vector)
          Sets the value of this vector to sum of itself and the specified vector
 void add(GVector vector1, GVector vector2)
          Sets the value of this vector to the vector sum of vectors vector1 and vector2.
 double angle(GVector v1)
          Returns the (n-space) angle in radians between this vector and the vector parameter; the return value is constrained to the range [0,PI].
 java.lang.Object clone()
          Creates a new object of the same class as this object.
 double dot(GVector v1)
          Returns the dot product of this vector and vector v1.
 boolean epsilonEquals(GVector v1, double epsilon)
          Returns true if the L-infinite distance between this vector and vector v1 is less than or equal to the epsilon parameter, otherwise returns false.
 boolean equals(GVector vector1)
          Returns true if all of the data members of GVector vector1 are equal to the corresponding data members in this GVector.
 boolean equals(java.lang.Object o1)
          Returns true if the Object o1 is of type GMatrix and all of the data members of o1 are equal to the corresponding data members in this GMatrix.
 double getElement(int index)
          Retrieves the value at the specified index value of this vector.
 int getSize()
          Returns the number of elements in this vector.
 int hashCode()
          Returns a hash code value based on the data values in this object.
 void interpolate(GVector v1, double alpha)
          Linearly interpolates between this vector and vector v1 and places the result into this tuple: this = (1-alpha)*this + alpha*v1.
 void interpolate(GVector v1, float alpha)
          Deprecated. Use interpolate(GVector, double) instead
 void interpolate(GVector v1, GVector v2, double alpha)
          Linearly interpolates between vectors v1 and v2 and places the result into this tuple: this = (1-alpha)*v1 + alpha*v2.
 void interpolate(GVector v1, GVector v2, float alpha)
          Deprecated. Use interpolate(GVector, GVector, double) instead
 void LUDBackSolve(GMatrix LU, GVector b, GVector permutation)
          LU Decomposition Back Solve; this method takes the LU matrix and the permutation vector produced by the GMatrix method LUD and solves the equation (LU)*x = b by placing the solution vector x into this vector.
 void mul(GMatrix m1, GVector v1)
          Multiplies matrix m1 times Vector v1 and places the result into this vector (this = m1*v1).
 void mul(GVector v1, GMatrix m1)
          Multiplies the transpose of vector v1 (ie, v1 becomes a row vector with respect to the multiplication) times matrix m1 and places the result into this vector (this = transpose(v1)*m1).
 void negate()
          Negates the value of this vector: this = -this.
 double norm()
          Returns the square root of the sum of the squares of this vector (its length in n-dimensional space).
 void normalize()
          Normalizes this vector in place.
 void normalize(GVector v1)
          Sets the value of this vector to the normalization of vector v1.
 double normSquared()
          Returns the sum of the squares of this vector (its length squared in n-dimensional space).
 void scale(double s)
          Scales this vector by the scale factor s.
 void scale(double s, GVector v1)
          Sets the value of this vector to the scalar multiplication of the scale factor with the vector v1.
 void scaleAdd(double s, GVector v1, GVector v2)
          Sets the value of this vector to the scalar multiplication by s of vector v1 plus vector v2 (this = s*v1 + v2).
 void set(double[] vector)
          Sets the value of this vector to the values found in the array parameter.
 void set(GVector vector)
          Sets the value of this vector to the values found in vector vector.
 void set(Tuple2f tuple)
          Sets the value of this vector to the values in tuple
 void set(Tuple3d tuple)
          Sets the value of this vector to the values in tuple
 void set(Tuple3f tuple)
          Sets the value of this vector to the values in tuple
 void set(Tuple4d tuple)
          Sets the value of this vector to the values in tuple
 void set(Tuple4f tuple)
          Sets the value of this vector to the values in tuple
 void setElement(int index, double value)
          Modifies the value at the specified index of this vector.
 void setSize(int length)
          Changes the size of this vector dynamically.
 void sub(GVector vector)
          Sets the value of this vector to the vector difference of itself and vector (this = this - vector).
 void sub(GVector vector1, GVector vector2)
          Sets the value of this vector to the vector difference of vectors vector1 and vector2 (this = vector1 - vector2).
 void SVDBackSolve(GMatrix U, GMatrix W, GMatrix V, GVector b)
          Solves for x in Ax = b, where x is this vector (nx1), A is mxn, b is mx1, and A = U*W*transpose(V); U,W,V must be precomputed and can be found by taking the singular value decomposition (SVD) of A using the method SVD found in the GMatrix class.
 java.lang.String toString()
          Returns a string that contains the values of this GVector.
 void zero()
          Sets all the values in this vector to zero.
 
Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait
 

Constructor Detail

GVector

public GVector(int length)
Constructs a new GVector of the specified length with all vector elements initialized to 0.

Parameters:
length - the number of elements in this GVector.

GVector

public GVector(double[] vector)
Constructs a new GVector from the specified array elements. The length of this GVector is set to the length of the specified array. The array elements are copied into this new GVector.

Parameters:
vector - the values for the new GVector.

GVector

public GVector(GVector vector)
Constructs a new GVector from the specified vector. The vector elements are copied into this new GVector.

Parameters:
vector - the source GVector for this new GVector.

GVector

public GVector(Tuple2f tuple)
Constructs a new GVector and copies the initial values from the specified tuple.

Parameters:
tuple - the source for the new GVector's initial values

GVector

public GVector(Tuple3f tuple)
Constructs a new GVector and copies the initial values from the specified tuple.

Parameters:
tuple - the source for the new GVector's initial values

GVector

public GVector(Tuple3d tuple)
Constructs a new GVector and copies the initial values from the specified tuple.

Parameters:
tuple - the source for the new GVector's initial values

GVector

public GVector(Tuple4f tuple)
Constructs a new GVector and copies the initial values from the specified tuple.

Parameters:
tuple - the source for the new GVector's initial values

GVector

public GVector(Tuple4d tuple)
Constructs a new GVector and copies the initial values from the specified tuple.

Parameters:
tuple - the source for the new GVector's initial values

GVector

public GVector(double[] vector,
               int length)
Constructs a new GVector of the specified length and initializes it by copying the specified number of elements from the specified array. The array must contain at least length elements (i.e., vector.length >= length. The length of this new GVector is set to the specified length.

Parameters:
vector - The array from which the values will be copied.
length - The number of values copied from the array.
Method Detail

norm

public final double norm()
Returns the square root of the sum of the squares of this vector (its length in n-dimensional space).

Returns:
length of this vector

normSquared

public final double normSquared()
Returns the sum of the squares of this vector (its length squared in n-dimensional space).

Returns:
length squared of this vector

normalize

public final void normalize(GVector v1)
Sets the value of this vector to the normalization of vector v1.

Parameters:
v1 - the un-normalized vector

normalize

public final void normalize()
Normalizes this vector in place.


scale

public final void scale(double s,
                        GVector v1)
Sets the value of this vector to the scalar multiplication of the scale factor with the vector v1.

Parameters:
s - the scalar value
v1 - the source vector

scale

public final void scale(double s)
Scales this vector by the scale factor s.

Parameters:
s - the scalar value

scaleAdd

public final void scaleAdd(double s,
                           GVector v1,
                           GVector v2)
Sets the value of this vector to the scalar multiplication by s of vector v1 plus vector v2 (this = s*v1 + v2).

Parameters:
s - the scalar value
v1 - the vector to be multiplied
v2 - the vector to be added

add

public final void add(GVector vector)
Sets the value of this vector to sum of itself and the specified vector

Parameters:
vector - the second vector

add

public final void add(GVector vector1,
                      GVector vector2)
Sets the value of this vector to the vector sum of vectors vector1 and vector2.

Parameters:
vector1 - the first vector
vector2 - the second vector

sub

public final void sub(GVector vector)
Sets the value of this vector to the vector difference of itself and vector (this = this - vector).

Parameters:
vector - the other vector

sub

public final void sub(GVector vector1,
                      GVector vector2)
Sets the value of this vector to the vector difference of vectors vector1 and vector2 (this = vector1 - vector2).

Parameters:
vector1 - the first vector
vector2 - the second vector

mul

public final void mul(GMatrix m1,
                      GVector v1)
Multiplies matrix m1 times Vector v1 and places the result into this vector (this = m1*v1).

Parameters:
m1 - The matrix in the multiplication
v1 - The vector that is multiplied

mul

public final void mul(GVector v1,
                      GMatrix m1)
Multiplies the transpose of vector v1 (ie, v1 becomes a row vector with respect to the multiplication) times matrix m1 and places the result into this vector (this = transpose(v1)*m1). The result is technically a row vector, but the GVector class only knows about column vectors, and so the result is stored as a column vector.

Parameters:
m1 - The matrix in the multiplication
v1 - The vector that is temporarily transposed

negate

public final void negate()
Negates the value of this vector: this = -this.


zero

public final void zero()
Sets all the values in this vector to zero.


setSize

public final void setSize(int length)
Changes the size of this vector dynamically. If the size is increased no data values will be lost. If the size is decreased, only those data values whose vector positions were eliminated will be lost.

Parameters:
length - number of desired elements in this vector

set

public final void set(double[] vector)
Sets the value of this vector to the values found in the array parameter. The array should be at least equal in length to the number of elements in the vector.

Parameters:
vector - the source array

set

public final void set(GVector vector)
Sets the value of this vector to the values found in vector vector.

Parameters:
vector - the source vector

set

public final void set(Tuple2f tuple)
Sets the value of this vector to the values in tuple

Parameters:
tuple - the source for the new GVector's new values

set

public final void set(Tuple3f tuple)
Sets the value of this vector to the values in tuple

Parameters:
tuple - the source for the new GVector's new values

set

public final void set(Tuple3d tuple)
Sets the value of this vector to the values in tuple

Parameters:
tuple - the source for the new GVector's new values

set

public final void set(Tuple4f tuple)
Sets the value of this vector to the values in tuple

Parameters:
tuple - the source for the new GVector's new values

set

public final void set(Tuple4d tuple)
Sets the value of this vector to the values in tuple

Parameters:
tuple - the source for the new GVector's new values

getSize

public final int getSize()
Returns the number of elements in this vector.

Returns:
number of elements in this vector

getElement

public final double getElement(int index)
Retrieves the value at the specified index value of this vector.

Parameters:
index - the index of the element to retrieve (zero indexed)
Returns:
the value at the indexed element

setElement

public final void setElement(int index,
                             double value)
Modifies the value at the specified index of this vector.

Parameters:
index - the index if the element to modify (zero indexed)
value - the new vector element value

toString

public java.lang.String toString()
Returns a string that contains the values of this GVector.

Overrides:
toString in class java.lang.Object
Returns:
the String representation

hashCode

public int hashCode()
Returns a hash code value based on the data values in this object. Two different GVector objects with identical data values (i.e., GVector.equals returns true) will return the same hash number. Two GVector objects with different data members may return the same hash value, although this is not likely.

Overrides:
hashCode in class java.lang.Object
Returns:
the integer hash code value

equals

public boolean equals(GVector vector1)
Returns true if all of the data members of GVector vector1 are equal to the corresponding data members in this GVector.

Parameters:
vector1 - The vector with which the comparison is made.
Returns:
true or false

equals

public boolean equals(java.lang.Object o1)
Returns true if the Object o1 is of type GMatrix and all of the data members of o1 are equal to the corresponding data members in this GMatrix.

Overrides:
equals in class java.lang.Object
Parameters:
o1 - The object with which the comparison is made.
Returns:
true or false

epsilonEquals

public boolean epsilonEquals(GVector v1,
                             double epsilon)
Returns true if the L-infinite distance between this vector and vector v1 is less than or equal to the epsilon parameter, otherwise returns false. The L-infinite distance is equal to MAX[abs(x1-x2), abs(y1-y2), . . . ].

Parameters:
v1 - The vector to be compared to this vector
epsilon - the threshold value

dot

public final double dot(GVector v1)
Returns the dot product of this vector and vector v1.

Parameters:
v1 - the other vector
Returns:
the dot product of this and v1

SVDBackSolve

public final void SVDBackSolve(GMatrix U,
                               GMatrix W,
                               GMatrix V,
                               GVector b)
Solves for x in Ax = b, where x is this vector (nx1), A is mxn, b is mx1, and A = U*W*transpose(V); U,W,V must be precomputed and can be found by taking the singular value decomposition (SVD) of A using the method SVD found in the GMatrix class.

Parameters:
U - The U matrix produced by the GMatrix method SVD
W - The W matrix produced by the GMatrix method SVD
V - The V matrix produced by the GMatrix method SVD
b - The b vector in the linear equation Ax = b

LUDBackSolve

public final void LUDBackSolve(GMatrix LU,
                               GVector b,
                               GVector permutation)
LU Decomposition Back Solve; this method takes the LU matrix and the permutation vector produced by the GMatrix method LUD and solves the equation (LU)*x = b by placing the solution vector x into this vector. This vector should be the same length or longer than b.

Parameters:
LU - The matrix into which the lower and upper decompostions have been placed
b - The b vector in the equation (LU)*x = b
permutation - The row permuations that were necessary to produce the LU matrix parameter

angle

public final double angle(GVector v1)
Returns the (n-space) angle in radians between this vector and the vector parameter; the return value is constrained to the range [0,PI].

Parameters:
v1 - The other vector
Returns:
The angle in radians in the range [0,PI]

interpolate

public final void interpolate(GVector v1,
                              GVector v2,
                              float alpha)
Deprecated. Use interpolate(GVector, GVector, double) instead


interpolate

public final void interpolate(GVector v1,
                              float alpha)
Deprecated. Use interpolate(GVector, double) instead


interpolate

public final void interpolate(GVector v1,
                              GVector v2,
                              double alpha)
Linearly interpolates between vectors v1 and v2 and places the result into this tuple: this = (1-alpha)*v1 + alpha*v2.

Parameters:
v1 - the first vector
v2 - the second vector
alpha - the alpha interpolation parameter

interpolate

public final void interpolate(GVector v1,
                              double alpha)
Linearly interpolates between this vector and vector v1 and places the result into this tuple: this = (1-alpha)*this + alpha*v1.

Parameters:
v1 - the first vector
alpha - the alpha interpolation parameter

clone

public java.lang.Object clone()
Creates a new object of the same class as this object.

Overrides:
clone in class java.lang.Object
Returns:
a clone of this instance.
Throws:
java.lang.OutOfMemoryError - if there is not enough memory.
Since:
vecmath 1.3
See Also:
Cloneable


Copyright (c) 2006 Sun Microsystems, Inc. All rights reserved. Use is subject to license terms.