Vector (jaicore-math 0.1.2 API)

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All Known Implementing Classes:
AbstractVector, DenseDoubleVector, SparseDoubleVector
```
public interface Vector
```
This interface defines all methods, which are required by all vector implementations.

Method Summary

All Methods Static Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`void`	`addConstant(double constant)` Adds the given constant to this vector.
`Vector`	`addConstantToCopy(double constant)` Adds the given constant to a copy of this vector and returns the result of this operation.
`void`	`addVector(double[] vectorAsArray)` Adds the given double array interpreted as a vector to this vector.
`void`	`addVector(Vector vector)` Adds the given vector to this vector.
`Vector`	`addVectorToCopy(double[] vectorAsArray)` Adds the given double array interpreted as a vector to a copy of this vector and returns the result of the operation.
`Vector`	`addVectorToCopy(Vector vector)` Adds the given vector to a copy of this vector and returns the result of the operation.
`double[]`	`asArray()` Returns this vector as a double array.
`java.lang.Double`	`average()` Returns the average of all values contained in this vector.
`void`	`divideByConstant(double constant)` Divides this vector by the given constant.
`Vector`	`divideByConstantToCopy(double constant)` Divides a copy of this vector by the given constant and returns the result of this operation.
`void`	`divideByVectorPairwise(double[] vectorAsArray)` Divides this vector by the given double array interpreted as a pairwise vector and stores the result in this vector.
`void`	`divideByVectorPairwise(Vector vector)` Divides this vector by the given pairwise vector and stores the result in this vector.
`Vector`	`divideByVectorPairwiseToCopy(double[] vectorAsArray)` Divides a copy of this vector by the given double array interpreted as a pairwise vector and returns the result of this operation.
`Vector`	`divideByVectorPairwiseToCopy(Vector vector)` Divides a copy of this vector by the given pairwise vector and returns the result of this operation.
`double`	`dotProduct(double[] vectorAsArray)` Computes the dot product of the given vector and this vector.
`double`	`dotProduct(Vector vector)` Computes the dot product of the given vector and this vector.
`Vector`	`duplicate()` Creates a deep copy of this vector.
`double`	`euclideanNorm()` Returns the Euclidean norm (length) of this vector.
`void`	`fillRandomly()` Fills this vector with random values from the unit interval.
`double`	`getValue(int index)` Returns the value at the given index of this vector.
`void`	`incrementValueAt(int index, double amount)` Increments the value at the given index by the given amount.
`boolean`	`isSparse()` Checks if this vector is sparse.
`int`	`length()` Returns the number of dimensions of this vector.
`double`	`mean()` Computes the mean of this vector.
`static Vector`	`merge(Vector v1, Vector v2)`
`void`	`multiplyByConstant(double constant)` Multiplies this vector with the given constant.
`Vector`	`multiplyByConstantToCopy(double constant)` Multiplies a copy of this vector with the given constant and returns the result of this operation.
`void`	`multiplyByVectorPairwise(double[] vectorAsArray)` Multiplies this vector with the given double array interpreted as a pairwise vector and stores the result in this vector.
`void`	`multiplyByVectorPairwise(Vector vector)` Multiplies this vector with the given vector pairwisely and stores the result in this vector.
`Vector`	`multiplyByVectorPairwiseToCopy(double[] vectorAsArray)` Multiplies a copy of this vector with the given double array interpreted as a pairwise vector and returns the result of the operation.
`Vector`	`multiplyByVectorPairwiseToCopy(Vector vector)` Multiplies a copy of this vector with the given vector pairwisely and returns the result of this operation.
`void`	`normalize()` Normalizes this vector to the unit interval.
`void`	`setValue(int index, double value)` Sets the value at the given index of this vector to the given value.
`void`	`squareRoot()` Replaces the current values of the vectors with the square roots of the elements.
`Vector`	`squareRootToCopy()` Takes the square root of each element of the vector and creates a new vector with these elements.
`double`	`standardDeviation()` Returns the standard deviation over the values in the vector.
`void`	`subtractConstant(double constant)` Subtracts the given constant from this vector.
`Vector`	`subtractConstantFromCopy(double constant)` Subtracts the given constant from a copy of this vector and returns the result of the operation.
`void`	`subtractVector(double[] vectorAsArray)` Subtracts the given double array interpreted as a vector from this vector.
`void`	`subtractVector(Vector vector)` Subtracts the given vector from this vector.
`Vector`	`subtractVectorFromCopy(double[] vectorAsArray)` Subtracts the given double array interpreted as a vector from a copy of this vector and returns the result of this operation.
`Vector`	`subtractVectorFromCopy(Vector vector)` Subtracts the given vector from a copy of this vector and returns the result of this operation.
`double`	`sum()` Returns the sum over the values of the dimensions of this vector.
`DenseDoubleVector`	`toDenseVector()` Returns this vector as `DenseDoubleVector`.
`SparseDoubleVector`	`toSparseVector()` Returns this vector as `SparseDoubleVector`.
`void`	`zeroAllDimensions()` Sets all dimensions of this vector to `0`.

- Method Detail
  - addVector
```
void addVector(double[] vectorAsArray)
```
    Adds the given double array interpreted as a vector to this vector.
    Parameters:
    vectorAsArray - The vector to be added as array.
  - addVectorToCopy
```
Vector addVectorToCopy(double[] vectorAsArray)
```
    Adds the given double array interpreted as a vector to a copy of this vector and returns the result of the operation.
    Parameters:
    vectorAsArray - The vector to be added as an array.
    Returns:
    The result vector of this operation.
  - subtractVector
```
void subtractVector(double[] vectorAsArray)
```
    Subtracts the given double array interpreted as a vector from this vector.
    Parameters:
    vectorAsArray - The vector to be subtracted as an array.
  - subtractVectorFromCopy
```
Vector subtractVectorFromCopy(double[] vectorAsArray)
```
    Subtracts the given double array interpreted as a vector from a copy of this vector and returns the result of this operation.
    Parameters:
    vectorAsArray - The vector to be subtracted as an array.
    Returns:
    The result vector of this operation.
  - multiplyByVectorPairwise
```
void multiplyByVectorPairwise(double[] vectorAsArray)
```
    Multiplies this vector with the given double array interpreted as a pairwise vector and stores the result in this vector.
    Parameters:
    vectorAsArray - The vector to be multiplied with.
  - multiplyByVectorPairwiseToCopy
```
Vector multiplyByVectorPairwiseToCopy(double[] vectorAsArray)
```
    Multiplies a copy of this vector with the given double array interpreted as a pairwise vector and returns the result of the operation.
    Parameters:
    vectorAsArray - The vector to be multiplied with.
    Returns:
    The result vector of this operation.
  - divideByVectorPairwise
```
void divideByVectorPairwise(double[] vectorAsArray)
```
    Divides this vector by the given double array interpreted as a pairwise vector and stores the result in this vector.
    Parameters:
    vectorAsArray - The vector to be divided by.
  - divideByVectorPairwiseToCopy
```
Vector divideByVectorPairwiseToCopy(double[] vectorAsArray)
```
    Divides a copy of this vector by the given double array interpreted as a pairwise vector and returns the result of this operation.
    Parameters:
    vectorAsArray - The operand vector as a double array.
    Returns:
    The result vector of this operation.
  - dotProduct
```
double dotProduct(double[] vectorAsArray)
```
    Computes the dot product of the given vector and this vector.
    Parameters:
    vectorAsArray - The vector to compute dot product with.
    Returns:
    The dot product of the given and this vector.
  - length
```
int length()
```
    Returns the number of dimensions of this vector.
    Returns:
    The number of dimensions of this vector.
  - getValue
```
double getValue(int index)
```
    Returns the value at the given index of this vector.
    Parameters:
    index - The index of the value to look for.
    Returns:
    The value at the given index.
  - setValue
```
void setValue(int index,              double value)
```
    Sets the value at the given index of this vector to the given value.
    Parameters:
    index - The index to set the value at.
    value - The value to be set at the specified index.
  - addConstant
```
void addConstant(double constant)
```
    Adds the given constant to this vector.
    Parameters:
    constant - The constant to be added.
  - addConstantToCopy
```
Vector addConstantToCopy(double constant)
```
    Adds the given constant to a copy of this vector and returns the result of this operation.
    Parameters:
    constant - The constant to be added.
    Returns:
    The result vector of this operation.
  - addVector
```
void addVector(Vector vector)
```
    Adds the given vector to this vector. The result is stored in this vector.
    Parameters:
    vector - The vector to be added to this vector.
  - addVectorToCopy
```
Vector addVectorToCopy(Vector vector)
```
    Adds the given vector to a copy of this vector and returns the result of the operation.
    Parameters:
    vector - The vector to be added to this vector.
    Returns:
    The result vector of this operation.
  - subtractConstant
```
void subtractConstant(double constant)
```
    Subtracts the given constant from this vector.
    Parameters:
    constant - The constant to be subtracted.
  - subtractConstantFromCopy
```
Vector subtractConstantFromCopy(double constant)
```
    Subtracts the given constant from a copy of this vector and returns the result of the operation.
    Parameters:
    constant - The constant to be subtracted.
    Returns:
    The result vector of this operation.
  - subtractVector
```
void subtractVector(Vector vector)
```
    Subtracts the given vector from this vector. The result is stored in this vector.
    Parameters:
    vector - The vector to subtract from this vector.
  - subtractVectorFromCopy
```
Vector subtractVectorFromCopy(Vector vector)
```
    Subtracts the given vector from a copy of this vector and returns the result of this operation.
    Parameters:
    vector - The vector to subtract from this vector.
    Returns:
    The result vector of this operation.
  - multiplyByVectorPairwise
```
void multiplyByVectorPairwise(Vector vector)
```
    Multiplies this vector with the given vector pairwisely and stores the result in this vector.
    Parameters:
    vector - The vector to be multiplied with.
  - multiplyByVectorPairwiseToCopy
```
Vector multiplyByVectorPairwiseToCopy(Vector vector)
```
    Multiplies a copy of this vector with the given vector pairwisely and returns the result of this operation.
    Parameters:
    vector - The vector to be multiplied with.
    Returns:
    The result vector of this operation.
  - multiplyByConstant
```
void multiplyByConstant(double constant)
```
    Multiplies this vector with the given constant.
    Parameters:
    constant - The constant to multiply this vector with.
  - multiplyByConstantToCopy
```
Vector multiplyByConstantToCopy(double constant)
```
    Multiplies a copy of this vector with the given constant and returns the result of this operation.
    Parameters:
    constant - The constant to multiply this vector with.
    Returns:
    The result vector of this operation.
  - divideByVectorPairwise
```
void divideByVectorPairwise(Vector vector)
```
    Divides this vector by the given pairwise vector and stores the result in this vector.
    Parameters:
    vector - The vector to be divided by.
  - divideByVectorPairwiseToCopy
```
Vector divideByVectorPairwiseToCopy(Vector vector)
```
    Divides a copy of this vector by the given pairwise vector and returns the result of this operation.
    Parameters:
    vector - The vector to be divided by.
    Returns:
    The result vector of this operation.
  - divideByConstant
```
void divideByConstant(double constant)
```
    Divides this vector by the given constant.
    Parameters:
    constant - The constant to divide this vector by.
  - divideByConstantToCopy
```
Vector divideByConstantToCopy(double constant)
```
    Divides a copy of this vector by the given constant and returns the result of this operation.
    Parameters:
    constant - The constant to divide this vector by.
    Returns:
    The result vector of this operation.
  - dotProduct
```
double dotProduct(Vector vector)
```
    Computes the dot product of the given vector and this vector.
    Parameters:
    vector - The vector to compute dot product with.
    Returns:
    The dot product of the given and this vector.
  - squareRoot
```
void squareRoot()
```
    Replaces the current values of the vectors with the square roots of the elements.
  - squareRootToCopy
```
Vector squareRootToCopy()
```
    Takes the square root of each element of the vector and creates a new vector with these elements.
    Returns:
    The vector consisting of the square rooted entries of this vector.
  - isSparse
```
boolean isSparse()
```
    Checks if this vector is sparse.
    Returns:
    true, if this vector is sparse, false if not.
  - asArray
```
double[] asArray()
```
    Returns this vector as a double array.
    Returns:
    The current vector as a double array.
  - toDenseVector
```
DenseDoubleVector toDenseVector()
```
    Returns this vector as DenseDoubleVector.
    Returns:
    The current vector as a dense vector.
  - toSparseVector
```
SparseDoubleVector toSparseVector()
```
    Returns this vector as SparseDoubleVector.
    Returns:
    The current vector as a sparse vector.
  - duplicate
```
Vector duplicate()
```
    Creates a deep copy of this vector.
    Returns:
    A deep copy of this vector.
  - normalize
```
void normalize()
```
    Normalizes this vector to the unit interval.
  - incrementValueAt
```
void incrementValueAt(int index,                      double amount)
```
    Increments the value at the given index by the given amount.
    Parameters:
    index - The index of the value to be incremented.
    amount - The amount to add to the value at the given index.
  - sum
```
double sum()
```
    Returns the sum over the values of the dimensions of this vector.
    Returns:
    The sum over the values of the dimensions.
  - mean
```
double mean()
```
    Computes the mean of this vector.
    Returns:
    The mean of this vector.
  - standardDeviation
```
double standardDeviation()
```
    Returns the standard deviation over the values in the vector.
    Returns:
    The standard deviation over the values in the vector.
  - zeroAllDimensions
```
void zeroAllDimensions()
```
    Sets all dimensions of this vector to 0.
  - fillRandomly
```
void fillRandomly()
```
    Fills this vector with random values from the unit interval.
  - euclideanNorm
```
double euclideanNorm()
```
    Returns the Euclidean norm (length) of this vector.
    Returns:
    The Euclidean norm of this vector.
  - average
```
java.lang.Double average()
```
    Returns the average of all values contained in this vector.
    Returns:
    The average of the single values.
  - merge
```
static Vector merge(Vector v1,                    Vector v2)
```

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NOTHING

Interface Vector

Method Summary

Method Detail

addVector

addVectorToCopy

subtractVector

subtractVectorFromCopy

multiplyByVectorPairwise

multiplyByVectorPairwiseToCopy

divideByVectorPairwise

divideByVectorPairwiseToCopy

dotProduct

length

getValue

setValue

addConstant

addConstantToCopy

addVector

addVectorToCopy

subtractConstant

subtractConstantFromCopy

subtractVector

subtractVectorFromCopy

multiplyByVectorPairwise

multiplyByVectorPairwiseToCopy

multiplyByConstant

multiplyByConstantToCopy

divideByVectorPairwise

divideByVectorPairwiseToCopy

divideByConstant

divideByConstantToCopy

dotProduct

squareRoot

squareRootToCopy

isSparse

asArray

toDenseVector

toSparseVector

duplicate

normalize

incrementValueAt

sum

mean

standardDeviation

zeroAllDimensions

fillRandomly

euclideanNorm

average

merge

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