## Class Vector2D

- java.lang.Object
- org.apache.commons.math3.geometry.euclidean.twod.Vector2D

- All Implemented Interfaces:
- Serializable, Point<Euclidean2D>, Vector<Euclidean2D>

public class Vector2Dextends Objectimplements Vector<Euclidean2D>

This class represents a 2D vector.Instances of this class are guaranteed to be immutable.

- See Also:
- Serialized Form

### Field Summary

Fields Modifier and Type Field and Description `static Vector2D`

**NaN**A vector with all coordinates set to NaN.`static Vector2D`

**NEGATIVE_INFINITY**A vector with all coordinates set to negative infinity.`static Vector2D`

**POSITIVE_INFINITY**A vector with all coordinates set to positive infinity.`static Vector2D`

**ZERO**Origin (coordinates: 0, 0).

### Constructor Summary

Constructors Constructor and Description **Vector2D**(double[] v)Simple constructor.**Vector2D**(double x, double y)Simple constructor.**Vector2D**(double a, Vector2D u)Multiplicative constructor Build a vector from another one and a scale factor.**Vector2D**(double a1, Vector2D u1, double a2, Vector2D u2)Linear constructor Build a vector from two other ones and corresponding scale factors.**Vector2D**(double a1, Vector2D u1, double a2, Vector2D u2, double a3, Vector2D u3)Linear constructor Build a vector from three other ones and corresponding scale factors.**Vector2D**(double a1, Vector2D u1, double a2, Vector2D u2, double a3, Vector2D u3, double a4, Vector2D u4)Linear constructor Build a vector from four other ones and corresponding scale factors.

### Method Summary

Methods Modifier and Type Method and Description `Vector2D`

**add**(double factor, Vector<Euclidean2D> v)Add a scaled vector to the instance.`Vector2D`

**add**(Vector<Euclidean2D> v)Add a vector to the instance.`static double`

**angle**(Vector2D v1, Vector2D v2)Compute the angular separation between two vectors.`double`

**distance**(Point<Euclidean2D> p)Compute the distance between the instance and another point.`double`

**distance**(Vector<Euclidean2D> p)Compute the distance between the instance and another vector according to the L_{2}norm.`static double`

**distance**(Vector2D p1, Vector2D p2)Compute the distance between two vectors according to the L_{2}norm.`double`

**distance1**(Vector<Euclidean2D> p)Compute the distance between the instance and another vector according to the L_{1}norm.`double`

**distanceInf**(Vector<Euclidean2D> p)Compute the distance between the instance and another vector according to the L_{∞}norm.`static double`

**distanceInf**(Vector2D p1, Vector2D p2)Compute the distance between two vectors according to the L_{∞}norm.`double`

**distanceSq**(Vector<Euclidean2D> p)Compute the square of the distance between the instance and another vector.`static double`

**distanceSq**(Vector2D p1, Vector2D p2)Compute the square of the distance between two vectors.`double`

**dotProduct**(Vector<Euclidean2D> v)Compute the dot-product of the instance and another vector.`boolean`

**equals**(Object other)Test for the equality of two 2D vectors.`double`

**getNorm**()Get the L_{2}norm for the vector.`double`

**getNorm1**()Get the L_{1}norm for the vector.`double`

**getNormInf**()Get the L_{∞}norm for the vector.`double`

**getNormSq**()Get the square of the norm for the vector.`Space`

**getSpace**()Get the space to which the point belongs.`double`

**getX**()Get the abscissa of the vector.`double`

**getY**()Get the ordinate of the vector.`Vector2D`

**getZero**()Get the null vector of the vectorial space or origin point of the affine space.`int`

**hashCode**()Get a hashCode for the 2D vector.`boolean`

**isInfinite**()Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise`boolean`

**isNaN**()Returns true if any coordinate of this point is NaN; false otherwise`Vector2D`

**negate**()Get the opposite of the instance.`Vector2D`

**normalize**()Get a normalized vector aligned with the instance.`Vector2D`

**scalarMultiply**(double a)Multiply the instance by a scalar.`Vector2D`

**subtract**(double factor, Vector<Euclidean2D> v)Subtract a scaled vector from the instance.`Vector2D`

**subtract**(Vector<Euclidean2D> p)Subtract a vector from the instance.`double[]`

**toArray**()Get the vector coordinates as a dimension 2 array.`String`

**toString**()Get a string representation of this vector.`String`

**toString**(NumberFormat format)Get a string representation of this vector.

### Field Detail

#### ZERO

public static final Vector2D ZERO

Origin (coordinates: 0, 0).

#### NaN

public static final Vector2D NaN

A vector with all coordinates set to NaN.

#### POSITIVE_INFINITY

public static final Vector2D POSITIVE_INFINITY

A vector with all coordinates set to positive infinity.

#### NEGATIVE_INFINITY

public static final Vector2D NEGATIVE_INFINITY

A vector with all coordinates set to negative infinity.

### Constructor Detail

#### Vector2D

public Vector2D(double x, double y)

Simple constructor. Build a vector from its coordinates

#### Vector2D

public Vector2D(double[] v) throws DimensionMismatchException

Simple constructor. Build a vector from its coordinates- Parameters:
`v`

- coordinates array- Throws:
`DimensionMismatchException`

- if array does not have 2 elements- See Also:
`toArray()`

#### Vector2D

public Vector2D(double a, Vector2D u)

Multiplicative constructor Build a vector from another one and a scale factor. The vector built will be a * u- Parameters:
`a`

- scale factor`u`

- base (unscaled) vector

#### Vector2D

public Vector2D(double a1, Vector2D u1, double a2, Vector2D u2)

Linear constructor Build a vector from two other ones and corresponding scale factors. The vector built will be a1 * u1 + a2 * u2- Parameters:
`a1`

- first scale factor`u1`

- first base (unscaled) vector`a2`

- second scale factor`u2`

- second base (unscaled) vector

#### Vector2D

public Vector2D(double a1, Vector2D u1, double a2, Vector2D u2, double a3, Vector2D u3)

Linear constructor Build a vector from three other ones and corresponding scale factors. The vector built will be a1 * u1 + a2 * u2 + a3 * u3- Parameters:
`a1`

- first scale factor`u1`

- first base (unscaled) vector`a2`

- second scale factor`u2`

- second base (unscaled) vector`a3`

- third scale factor`u3`

- third base (unscaled) vector

#### Vector2D

public Vector2D(double a1, Vector2D u1, double a2, Vector2D u2, double a3, Vector2D u3, double a4, Vector2D u4)

Linear constructor Build a vector from four other ones and corresponding scale factors. The vector built will be a1 * u1 + a2 * u2 + a3 * u3 + a4 * u4- Parameters:
`a1`

- first scale factor`u1`

- first base (unscaled) vector`a2`

- second scale factor`u2`

- second base (unscaled) vector`a3`

- third scale factor`u3`

- third base (unscaled) vector`a4`

- fourth scale factor`u4`

- fourth base (unscaled) vector

### Method Detail

#### getX

public double getX()

Get the abscissa of the vector.- Returns:
- abscissa of the vector
- See Also:
`Vector2D(double, double)`

#### getY

public double getY()

Get the ordinate of the vector.- Returns:
- ordinate of the vector
- See Also:
`Vector2D(double, double)`

#### toArray

public double[] toArray()

Get the vector coordinates as a dimension 2 array.- Returns:
- vector coordinates
- See Also:
`Vector2D(double[])`

#### getSpace

public Space getSpace()

Get the space to which the point belongs.**Specified by:**`getSpace`

in interface`Point<Euclidean2D>`

- Returns:
- containing space

#### getZero

public Vector2D getZero()

Get the null vector of the vectorial space or origin point of the affine space.**Specified by:**`getZero`

in interface`Vector<Euclidean2D>`

- Returns:
- null vector of the vectorial space or origin point of the affine space

#### getNorm1

public double getNorm1()

Get the L_{1}norm for the vector.**Specified by:**`getNorm1`

in interface`Vector<Euclidean2D>`

- Returns:
- L
_{1}norm for the vector

#### getNorm

public double getNorm()

Get the L_{2}norm for the vector.**Specified by:**`getNorm`

in interface`Vector<Euclidean2D>`

- Returns:
- Euclidean norm for the vector

#### getNormSq

public double getNormSq()

Get the square of the norm for the vector.**Specified by:**`getNormSq`

in interface`Vector<Euclidean2D>`

- Returns:
- square of the Euclidean norm for the vector

#### getNormInf

public double getNormInf()

Get the L_{∞}norm for the vector.**Specified by:**`getNormInf`

in interface`Vector<Euclidean2D>`

- Returns:
- L
_{∞}norm for the vector

#### add

public Vector2D add(Vector<Euclidean2D> v)

Add a vector to the instance.**Specified by:**`add`

in interface`Vector<Euclidean2D>`

- Parameters:
`v`

- vector to add- Returns:
- a new vector

#### add

public Vector2D add(double factor, Vector<Euclidean2D> v)

Add a scaled vector to the instance.**Specified by:**`add`

in interface`Vector<Euclidean2D>`

- Parameters:
`factor`

- scale factor to apply to v before adding it`v`

- vector to add- Returns:
- a new vector

#### subtract

public Vector2D subtract(Vector<Euclidean2D> p)

Subtract a vector from the instance.**Specified by:**`subtract`

in interface`Vector<Euclidean2D>`

- Parameters:
`p`

- vector to subtract- Returns:
- a new vector

#### subtract

public Vector2D subtract(double factor, Vector<Euclidean2D> v)

Subtract a scaled vector from the instance.**Specified by:**`subtract`

in interface`Vector<Euclidean2D>`

- Parameters:
`factor`

- scale factor to apply to v before subtracting it`v`

- vector to subtract- Returns:
- a new vector

#### normalize

public Vector2D normalize() throws MathArithmeticException

Get a normalized vector aligned with the instance.**Specified by:**`normalize`

in interface`Vector<Euclidean2D>`

- Returns:
- a new normalized vector
- Throws:
`MathArithmeticException`

- if the norm is zero

#### angle

public static double angle(Vector2D v1, Vector2D v2) throws MathArithmeticException

Compute the angular separation between two vectors.This method computes the angular separation between two vectors using the dot product for well separated vectors and the cross product for almost aligned vectors. This allows to have a good accuracy in all cases, even for vectors very close to each other.

- Parameters:
`v1`

- first vector`v2`

- second vector- Returns:
- angular separation between v1 and v2
- Throws:
`MathArithmeticException`

- if either vector has a null norm

#### negate

public Vector2D negate()

Get the opposite of the instance.**Specified by:**`negate`

in interface`Vector<Euclidean2D>`

- Returns:
- a new vector which is opposite to the instance

#### scalarMultiply

public Vector2D scalarMultiply(double a)

Multiply the instance by a scalar.**Specified by:**`scalarMultiply`

in interface`Vector<Euclidean2D>`

- Parameters:
`a`

- scalar- Returns:
- a new vector

#### isNaN

public boolean isNaN()

Returns true if any coordinate of this point is NaN; false otherwise**Specified by:**`isNaN`

in interface`Point<Euclidean2D>`

- Returns:
- true if any coordinate of this point is NaN; false otherwise

#### isInfinite

public boolean isInfinite()

Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise**Specified by:**`isInfinite`

in interface`Vector<Euclidean2D>`

- Returns:
- true if any coordinate of this vector is infinite and none are NaN; false otherwise

#### distance1

public double distance1(Vector<Euclidean2D> p)

Compute the distance between the instance and another vector according to the L_{1}norm.Calling this method is equivalent to calling:

`q.subtract(p).getNorm1()`

except that no intermediate vector is built**Specified by:**`distance1`

in interface`Vector<Euclidean2D>`

- Parameters:
`p`

- second vector- Returns:
- the distance between the instance and p according to the L
_{1}norm

#### distance

public double distance(Vector<Euclidean2D> p)

Compute the distance between the instance and another vector according to the L_{2}norm.Calling this method is equivalent to calling:

`q.subtract(p).getNorm()`

except that no intermediate vector is built**Specified by:**`distance`

in interface`Vector<Euclidean2D>`

- Parameters:
`p`

- second vector- Returns:
- the distance between the instance and p according to the L
_{2}norm

#### distance

public double distance(Point<Euclidean2D> p)

Compute the distance between the instance and another point.**Specified by:**`distance`

in interface`Point<Euclidean2D>`

- Parameters:
`p`

- second point- Returns:
- the distance between the instance and p

#### distanceInf

public double distanceInf(Vector<Euclidean2D> p)

Compute the distance between the instance and another vector according to the L_{∞}norm.Calling this method is equivalent to calling:

`q.subtract(p).getNormInf()`

except that no intermediate vector is built**Specified by:**`distanceInf`

in interface`Vector<Euclidean2D>`

- Parameters:
`p`

- second vector- Returns:
- the distance between the instance and p according to the L
_{∞}norm

#### distanceSq

public double distanceSq(Vector<Euclidean2D> p)

Compute the square of the distance between the instance and another vector.Calling this method is equivalent to calling:

`q.subtract(p).getNormSq()`

except that no intermediate vector is built**Specified by:**`distanceSq`

in interface`Vector<Euclidean2D>`

- Parameters:
`p`

- second vector- Returns:
- the square of the distance between the instance and p

#### dotProduct

public double dotProduct(Vector<Euclidean2D> v)

Compute the dot-product of the instance and another vector.**Specified by:**`dotProduct`

in interface`Vector<Euclidean2D>`

- Parameters:
`v`

- second vector- Returns:
- the dot product this.v

#### distance

public static double distance(Vector2D p1, Vector2D p2)

Compute the distance between two vectors according to the L_{2}norm.Calling this method is equivalent to calling:

`p1.subtract(p2).getNorm()`

except that no intermediate vector is built- Parameters:
`p1`

- first vector`p2`

- second vector- Returns:
- the distance between p1 and p2 according to the L
_{2}norm

#### distanceInf

public static double distanceInf(Vector2D p1, Vector2D p2)

Compute the distance between two vectors according to the L_{∞}norm.Calling this method is equivalent to calling:

`p1.subtract(p2).getNormInf()`

except that no intermediate vector is built- Parameters:
`p1`

- first vector`p2`

- second vector- Returns:
- the distance between p1 and p2 according to the L
_{∞}norm

#### distanceSq

public static double distanceSq(Vector2D p1, Vector2D p2)

Compute the square of the distance between two vectors.Calling this method is equivalent to calling:

`p1.subtract(p2).getNormSq()`

except that no intermediate vector is built- Parameters:
`p1`

- first vector`p2`

- second vector- Returns:
- the square of the distance between p1 and p2

#### equals

public boolean equals(Object other)

Test for the equality of two 2D vectors.If all coordinates of two 2D vectors are exactly the same, and none are

`Double.NaN`

, the two 2D vectors are considered to be equal.`NaN`

coordinates are considered to affect globally the vector and be equals to each other - i.e, if either (or all) coordinates of the 2D vector are equal to`Double.NaN`

, the 2D vector is equal to`NaN`

.

#### hashCode

public int hashCode()

Get a hashCode for the 2D vector.All NaN values have the same hash code.

#### toString

public String toString()

Get a string representation of this vector.

#### toString

public String toString(NumberFormat format)

Get a string representation of this vector.**Specified by:**`toString`

in interface`Vector<Euclidean2D>`

- Parameters:
`format`

- the custom format for components- Returns:
- a string representation of this vector

**SCaVis 2.2 © jWork.ORG**