ArrayMath

java.lang.Object
- jhplot.math.ArrayMath

```
public final class ArrayMath
extends Object
```
Arrays are faster than object, so this class is here to take full advantage of arrays without encapsulation. All methods are safe, that is, they create copies of arrays whenever necessary This makes for slower methods, but the programmer can always define his own methods optimized for performance.

Method Summary

All Methods Static Methods Concrete Methods Deprecated Methods
Modifier and Type	Method and Description
`static double[]`	`abs(double[] v)` Takes the absolute value of each component of an array.
`static double[][]`	`abs(double[][] v)` Takes the absolute value of each component of an array.
`static int[]`	`abs(int[] v)` Takes the absolute value of each component of an array.
`static int[][]`	`abs(int[][] v)` Takes the absolute value of each component of an array.
`static double[]`	`add(double[] w, double a)` Adds a scalar to every element in the array.
`static double[]`	`add(double[] a, double[] b)` Adds the two arrays together (componentwise).
`static double[]`	`add(double[] w, double a, double[] v, int p)` Adds to an array w, a times v where a is a scalar.
`static int[]`	`add(int[] w, double a, int[] v, int p)` Adds to an array w, a times v where a is a scalar.
`static int[]`	`add(int[] w, int a)` Adds a scalar to every element in the array.
`static int[]`	`add(int[] a, int[] b)` Adds the two arrays together (componentwise).
`static double[]`	`copy(double[] array)` Returns a copy of the array.
`static double[][]`	`copy(double[][] v)` Returns a copy of the array.
`static float[]`	`copy(float[] array)` Returns a copy of the array.
`static int[]`	`copy(int[] array)` Returns a copy of the array.
`static int[][]`	`copy(int[][] v)` Returns a copy of the array.
`static long[]`	`copy(long[] array)` Returns a copy of the array.
`static double`	`correlation(double[] v1, double[] v2)` Computes the (linear) correlation between two arrays.
`static double`	`correlation(int[] v1, int[] v2)` Computes the (linear) correlation between two arrays.
`static double`	`covariance(double[] v1, double[] v2)` Computes the covariance.
`static double`	`covariance(int[] v1, int[] v2)` Computes the covariance.
`static boolean`	`equals(int[] a, int[] b)` Deprecated. Use java.util.Arrays instead.
`static double[]`	`extract(int k0, int k1, double[] invect)` Extracts a sub-array (will invert the resulting array if k0 > k1).
`static int[]`	`extract(int k0, int k1, int[] invect)` Extracts a sub-array (will invert the resulting array if k0 > k1).
`static double`	`getPowerN(double[] data, int n)` Sums all components then puts to power n.
`static double[]`	`invert(double[] v)` Inverts an array from left to right.
`static int[]`	`invert(int[] v)` Inverts an array from left to right.
`static boolean`	`isSquare(double[][] a)`
`static boolean`	`isSquare(float[][] a)`
`static boolean`	`isSquare(int[][] a)`
`static boolean`	`isSquare(long[][] a)`
`static boolean`	`isSquare(Object[][] a)`
`static double`	`mass(double[] v)` Returns the sum of the elements of the array.
`static int`	`mass(int[] v)` Returns the sum of the elements of the array.
`static double`	`max(double[] v)` Returns the maximum of an array.
`static double`	`max(double[][] v)` Returns the maximum of an array.
`static int`	`max(int[] v)` Returns the maximum of an array.
`static int`	`max(int[][] v)` Returns the maximum of an array.
`static double`	`maxIndex(double[] value)` returns the index of the greatest element from the given array
`static double`	`mean(double[] v)` Computes the mean.
`static double`	`mean(int[] v)` Computes the mean.
`static double`	`median(double[] v)` Computes the median of an array.
`static int`	`median(int[] v)` Computes the median of an array.
`static double`	`min(double[] v)` Returns the minimum of an array.
`static double`	`min(double[][] v)` Returns the minimum of an array.
`static int`	`min(int[] v)` Returns the minimum of an array.
`static int`	`min(int[][] v)` Returns the minimum of an array.
`static double`	`minIndex(double[] value)` returns the index of the smallest element from the given array
`static double`	`norm(double[] data)` Computes the L2 norm of an array (Euclidean norm or "length").
`static double`	`norm(int[] data)` Computes the L2 norm of an array (Euclidean norm or "length").
`static double[]`	`normalize(double[] v)` Renormalizes the array so that its L2 norm is 1 (up to computational errors).
`static double[]`	`padding(int n0, int pos, double[] v)` Fills in with zero to get to the desired length; original array with be at the specified position.
`static int[]`	`padding(int n0, int pos, int[] v)` Fills in with zeroes to get to the specified length; original array with be at the specified position
`static double`	`percentile(double[] v, double p)` Gives the percentile of an array
`static double`	`percentile(int[] v, double p)` Gives the percentile of an array.
`static void`	`print(double[] v)` Prints an array to screen.
`static void`	`print(double[][] v)` Prints an array to screen.
`static void`	`print(int[] v)` Prints an array to screen.
`static void`	`print(int[][] v)` Prints an array to screen.
`static double[]`	`range(double b)` Generates an array going for 0 to b with steps of size 1.
`static double`	`range(double[] population)` returns the difference between the max and the min element
`static double[]`	`range(double a, double b)` Generates an array going for a to b inclusively with steps of size 1.
`static double[]`	`range(double a, double b, double step)` Generates an array going for a to b with steps of size step.
`static int[]`	`range(int b)` Generates an array going for 0 to b with steps of size 1.
`static int[]`	`range(int a, int b)` Generates an array going for a to b with steps of size 1.
`static int[]`	`range(int a, int b, int step)` Generates an array going for a to b with steps of size step.
`static double[]`	`scalarMultiply(double a, double[] v)` Multiplies every component of an array by a scalar.
`static double[]`	`scalarMultiply(double a, int[] v)` Multiplies every component of an array by a scalar.
`static double[]`	`scalarMultiplyFast(double a, double[] v)` Fast scalar multiplication for sparse arrays.
`static double[]`	`scalarMultiplyFast(double a, int[] v)` Fast scalar multiplication for sparse arrays.
`static double`	`scalarProduct(double[][] w0, double[][] w1)` Computes the scalar product of two array as if they were matrices.
`static double`	`scalarProduct(double[] w0, double[] w1)` Computes the scalar product of two array as if they were vectors.
`static double`	`scalarProduct(int[][] w0, int[][] w1)` Computes the scalar product of two array as if they were matrices.
`static int`	`scalarProduct(int[] w0, int[] w1)` Computes the scalar product of two array as if they were vectors.
`static double[]`	`setLengthFromBeginning(double[] data, int length)` Sets an array to the specified length scraping or padding the end if necessary.
`static int[]`	`setLengthFromBeginning(int[] data, int length)` Sets an array to the specified length scraping or padding the end if necessary.
`static double[]`	`setLengthFromEnd(double[] data, int length)` Sets an array to the specified length scraping or padding the beginning if necessary.
`static int[]`	`setLengthFromEnd(int[] data, int length)` Sets an array to the specified length scraping or padding the beginning if necessary.
`static double`	`softmax(int index, double[] x)` produces a double between 0 and 1 based on the given array x and the index that must be between (0 and x.length) For further information see also: http://www-ccs.ucsd.edu/matlab/toolbox/nnet/softmax.html
`static double[]`	`sortMaxToMin(double[] v)` Returns a sorted array from the maximum to the minimum value.
`static int[]`	`sortMaxToMin(int[] v)` Returns a sorted array from the maximum to the minimum value.
`static double[]`	`sortMinToMax(double[] v)` Returns a sorted array from the minimum to the maximum value.
`static int[]`	`sortMinToMax(int[] v)` Returns a sorted array from the minimum to the maximum value.
`static double`	`standardDeviation(double[] v)` Computes the (bias-corrected sample) standard deviation of an array.
`static double`	`standardDeviation(int[] v)` Returns the (bias-corrected sample) standard deviation of an array.
`static double[]`	`subtract(double[] a, double[] b)` Subtracts the two arrays together (componentwise)
`static int[]`	`subtract(int[] a, int[] b)` Subtracts the two arrays together (componentwise).
`static double`	`sumSquares(double[] data)` Sums the squares of all components; also called the energy of the array.
`static double`	`sumSquares(double[][] data)` Sums the squares of all components; also called the energy of the array.
`static int`	`sumSquares(int[] data)` Sums the squares of all components; also called the energy of the array.
`static int`	`sumSquares(int[][] data)` Sums the squares of all components; also called the energy of the array.
`static double[]`	`toDouble(float[] v)`
`static double[][]`	`toDouble(float[][] v)`
`static double[]`	`toDouble(int[] v)`
`static double[][]`	`toDouble(int[][] v)`
`static double[]`	`toDouble(long[] v)`
`static double[][]`	`toDouble(long[][] v)`
`static float[]`	`toFloat(double[] v)`
`static float[][]`	`toFloat(double[][] v)`
`static float[]`	`toFloat(int[] v)`
`static float[][]`	`toFloat(int[][] v)`
`static float[]`	`toFloat(long[] v)`
`static float[][]`	`toFloat(long[][] v)`
`static int[]`	`toInt(double[] v)`
`static int[][]`	`toInt(double[][] v)`
`static int[]`	`toInt(float[] v)`
`static int[][]`	`toInt(float[][] v)`
`static int[]`	`toInt(long[] v)`
`static int[][]`	`toInt(long[][] v)`
`static long[]`	`toLong(double[] v)`
`static long[][]`	`toLong(double[][] v)`
`static long[]`	`toLong(float[] v)`
`static long[][]`	`toLong(float[][] v)`
`static long[]`	`toLong(int[] v)`
`static long[][]`	`toLong(int[][] v)`
`static String`	`toString(double[] array)` Returns a comma delimited string representing the value of the array.
`static String`	`toString(double[][] array)` Returns a comma delimited string representing the value of the array.
`static String`	`toString(int[] array)` Returns a comma delimited string representing the value of the array.
`static String`	`toString(int[][] array)` Returns a comma delimited string representing the value of the array.
`static double[][]`	`transpose(double[][] M)` Takes the transpose of an array (like the matrix operation).
`static int[][]`	`transpose(int[][] M)` Takes the transpose of an array (like the matrix operation).
`static double`	`variance(double[] v)` Computes the (bias-corrected sample) variance.
`static double`	`variance(int[] v)` Computes the (bias-corrected sample) variance.

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - copy
```
public static int[] copy(int[] array)
```
    Returns a copy of the array.
  - copy
```
public static long[] copy(long[] array)
```
    Returns a copy of the array.
  - copy
```
public static float[] copy(float[] array)
```
    Returns a copy of the array.
  - copy
```
public static double[] copy(double[] array)
```
    Returns a copy of the array.
  - toFloat
```
public static float[] toFloat(double[] v)
```
  - toFloat
```
public static float[] toFloat(long[] v)
```
  - toFloat
```
public static float[] toFloat(int[] v)
```
  - isSquare
```
public static boolean isSquare(double[][] a)
```
  - isSquare
```
public static boolean isSquare(float[][] a)
```
  - isSquare
```
public static boolean isSquare(long[][] a)
```
  - isSquare
```
public static boolean isSquare(int[][] a)
```
  - isSquare
```
public static boolean isSquare(Object[][] a)
```
  - toFloat
```
public static float[][] toFloat(double[][] v)
```
  - toFloat
```
public static float[][] toFloat(long[][] v)
```
  - toFloat
```
public static float[][] toFloat(int[][] v)
```
  - toDouble
```
public static double[] toDouble(float[] v)
```
  - toDouble
```
public static double[] toDouble(long[] v)
```
  - toDouble
```
public static double[] toDouble(int[] v)
```
  - toDouble
```
public static double[][] toDouble(float[][] v)
```
  - toDouble
```
public static double[][] toDouble(long[][] v)
```
  - toDouble
```
public static double[][] toDouble(int[][] v)
```
  - toLong
```
public static long[] toLong(double[] v)
```
  - toLong
```
public static long[] toLong(float[] v)
```
  - toLong
```
public static long[] toLong(int[] v)
```
  - toLong
```
public static long[][] toLong(float[][] v)
```
  - toLong
```
public static long[][] toLong(double[][] v)
```
  - toLong
```
public static long[][] toLong(int[][] v)
```
  - toInt
```
public static int[] toInt(double[] v)
```
  - toInt
```
public static int[] toInt(float[] v)
```
  - toInt
```
public static int[] toInt(long[] v)
```
  - toInt
```
public static int[][] toInt(float[][] v)
```
  - toInt
```
public static int[][] toInt(double[][] v)
```
  - toInt
```
public static int[][] toInt(long[][] v)
```
  - normalize
```
public static double[] normalize(double[] v)
```
    Renormalizes the array so that its L2 norm is 1 (up to computational errors).
  - setLengthFromEnd
```
public static double[] setLengthFromEnd(double[] data,
                                        int length)
```
    Sets an array to the specified length scraping or padding the beginning if necessary.
  - setLengthFromBeginning
```
public static double[] setLengthFromBeginning(double[] data,
                                              int length)
```
    Sets an array to the specified length scraping or padding the end if necessary.
  - copy
```
public static double[][] copy(double[][] v)
```
    Returns a copy of the array.
  - variance
```
public static double variance(double[] v)
```
    Computes the (bias-corrected sample) variance.
  - covariance
```
public static double covariance(double[] v1,
                                double[] v2)
```
    Computes the covariance.
  - correlation
```
public static double correlation(double[] v1,
                                 double[] v2)
```
    Computes the (linear) correlation between two arrays. Squaring this result and multiply by 100 gives you the percentage of correlation.
  - mean
```
public static double mean(double[] v)
```
    Computes the mean.
  - standardDeviation
```
public static double standardDeviation(double[] v)
```
    Computes the (bias-corrected sample) standard deviation of an array.
  - sortMinToMax
```
public static double[] sortMinToMax(double[] v)
```
    Returns a sorted array from the minimum to the maximum value.
  - sortMaxToMin
```
public static double[] sortMaxToMin(double[] v)
```
    Returns a sorted array from the maximum to the minimum value.
  - percentile
```
public static double percentile(double[] v,
                                double p)
```
    Gives the percentile of an array
    
    Parameters:
    
    p - percentile, must be between 0 and 1
    
    Throws:
    
    IllegalArgumentException - if parameter. p is not between 0 and 1.
  - median
```
public static double median(double[] v)
```
    Computes the median of an array. If the array contains an even number of elements, then the mean of the lower and upper medians is returned.
  - abs
```
public static double[] abs(double[] v)
```
    Takes the absolute value of each component of an array.
  - abs
```
public static double[][] abs(double[][] v)
```
    Takes the absolute value of each component of an array.
  - max
```
public static double max(double[] v)
```
    Returns the maximum of an array.
  - max
```
public static double max(double[][] v)
```
    Returns the maximum of an array.
  - maxIndex
```
public static double maxIndex(double[] value)
```
    returns the index of the greatest element from the given array
  - min
```
public static double min(double[] v)
```
    Returns the minimum of an array.
  - min
```
public static double min(double[][] v)
```
    Returns the minimum of an array.
  - minIndex
```
public static double minIndex(double[] value)
```
    returns the index of the smallest element from the given array
  - norm
```
public static double norm(double[] data)
```
    Computes the L2 norm of an array (Euclidean norm or "length").
  - sumSquares
```
public static double sumSquares(double[] data)
```
    Sums the squares of all components; also called the energy of the array.
  - sumSquares
```
public static double sumSquares(double[][] data)
```
    Sums the squares of all components; also called the energy of the array.
  - getPowerN
```
public static double getPowerN(double[] data,
                               int n)
```
    Sums all components then puts to power n. This is the direct computation of the polynomial expansion
  - scalarProduct
```
public static double scalarProduct(double[] w0,
                                   double[] w1)
```
    Computes the scalar product of two array as if they were vectors.
    
    Throws:
    
    IllegalArgumentException - if the don't have the same length
  - scalarProduct
```
public static double scalarProduct(double[][] w0,
                                   double[][] w1)
```
    Computes the scalar product of two array as if they were matrices.
    
    Throws:
    
    IllegalArgumentException - if the don't have the same length
  - extract
```
public static double[] extract(int k0,
                               int k1,
                               double[] invect)
```
    Extracts a sub-array (will invert the resulting array if k0 > k1).
    
    Parameters:
    
    k0 - location of the first component
    
    k1 - location of the last component
  - invert
```
public static double[] invert(double[] v)
```
    Inverts an array from left to right.
  - padding
```
public static double[] padding(int n0,
                               int pos,
                               double[] v)
```
    Fills in with zero to get to the desired length; original array with be at the specified position.
    
    Parameters:
    
    n0 - length of the new array.
    
    pos - position of the old array.
  - add
```
public static double[] add(double[] w,
                           double a,
                           double[] v,
                           int p)
```
    Adds to an array w, a times v where a is a scalar. Since v can be smaller then w, we must specified the position at which v will be added.
    
    Parameters:
    
    a - scalar.
    
    p - position.
  - add
```
public static double[] add(double[] w,
                           double a)
```
    Adds a scalar to every element in the array.
  - transpose
```
public static double[][] transpose(double[][] M)
```
    Takes the transpose of an array (like the matrix operation).
    
    Throws:
    
    IllegalArgumentException - if the array is not a matrix
  - range
```
public static double[] range(double a,
                             double b,
                             double step)
```
    Generates an array going for a to b with steps of size step. If it can't get to the value b in a finite number of steps, it gets as close as possible (a can be larger or smaller than b)
    
    Parameters:
    
    step - size of steps, must be positive.
    
    a - first value of array.
    
    b - last value of array.
    
    Throws:
    
    IllegalArgumentException - if step is negative of if a=b.
  - range
```
public static double[] range(double a,
                             double b)
```
    Generates an array going for a to b inclusively with steps of size 1. a can be smaller or larger than b.
  - range
```
public static double range(double[] population)
```
    returns the difference between the max and the min element
  - softmax
```
public static double softmax(int index,
                             double[] x)
```
    produces a double between 0 and 1 based on the given array x and the index that must be between (0 and x.length) For further information see also: http://www-ccs.ucsd.edu/matlab/toolbox/nnet/softmax.html
  - range
```
public static double[] range(double b)
```
    Generates an array going for 0 to b with steps of size 1. 0 can be smaller or larger than b.
  - add
```
public static double[] add(double[] a,
                           double[] b)
```
    Adds the two arrays together (componentwise).
    
    Throws:
    
    IllegalArgumentException - if the two arrays don't have the same length.
  - subtract
```
public static double[] subtract(double[] a,
                                double[] b)
```
    Subtracts the two arrays together (componentwise)
    
    Throws:
    
    IllegalArgumentException - if the two arrays don't have the same length.
  - scalarMultiply
```
public static double[] scalarMultiply(double a,
                                      double[] v)
```
    Multiplies every component of an array by a scalar.
  - toString
```
public static String toString(double[] array)
```
    Returns a comma delimited string representing the value of the array.
  - toString
```
public static String toString(double[][] array)
```
    Returns a comma delimited string representing the value of the array.
  - mass
```
public static double mass(double[] v)
```
    Returns the sum of the elements of the array.
  - scalarMultiplyFast
```
public static double[] scalarMultiplyFast(double a,
                                          double[] v)
```
    Fast scalar multiplication for sparse arrays.
  - print
```
public static void print(double[] v)
```
    Prints an array to screen.
  - print
```
public static void print(double[][] v)
```
    Prints an array to screen.
  - setLengthFromEnd
```
public static int[] setLengthFromEnd(int[] data,
                                     int length)
```
    Sets an array to the specified length scraping or padding the beginning if necessary.
  - setLengthFromBeginning
```
public static int[] setLengthFromBeginning(int[] data,
                                           int length)
```
    Sets an array to the specified length scraping or padding the end if necessary.
  - copy
```
public static int[][] copy(int[][] v)
```
    Returns a copy of the array.
  - variance
```
public static double variance(int[] v)
```
    Computes the (bias-corrected sample) variance.
  - covariance
```
public static double covariance(int[] v1,
                                int[] v2)
```
    Computes the covariance.
  - correlation
```
public static double correlation(int[] v1,
                                 int[] v2)
```
    Computes the (linear) correlation between two arrays. Squaring this result and multiply by 100 gives you the percentage of correlation.
  - mean
```
public static double mean(int[] v)
```
    Computes the mean.
  - standardDeviation
```
public static double standardDeviation(int[] v)
```
    Returns the (bias-corrected sample) standard deviation of an array.
  - sortMinToMax
```
public static int[] sortMinToMax(int[] v)
```
    Returns a sorted array from the minimum to the maximum value.
  - sortMaxToMin
```
public static int[] sortMaxToMin(int[] v)
```
    Returns a sorted array from the maximum to the minimum value.
  - toString
```
public static String toString(int[] array)
```
    Returns a comma delimited string representing the value of the array.
  - toString
```
public static String toString(int[][] array)
```
    Returns a comma delimited string representing the value of the array.
  - percentile
```
public static double percentile(int[] v,
                                double p)
```
    Gives the percentile of an array.
    
    Parameters:
    
    p - percentile, must be between 0 and 1
    
    Throws:
    
    IllegalArgumentException - if parameter p is not between 0 and 1.
  - median
```
public static int median(int[] v)
```
    Computes the median of an array. If the array contains an even number of elements, the lower median is returned.
  - equals
```
public static boolean equals(int[] a,
                             int[] b)
```
    Deprecated. Use java.util.Arrays instead.
    
    Use java.util.Arrays instead. Check if two arrays are equal.
  - abs
```
public static int[] abs(int[] v)
```
    Takes the absolute value of each component of an array.
  - abs
```
public static int[][] abs(int[][] v)
```
    Takes the absolute value of each component of an array.
  - max
```
public static int max(int[] v)
```
    Returns the maximum of an array.
  - max
```
public static int max(int[][] v)
```
    Returns the maximum of an array.
  - min
```
public static int min(int[] v)
```
    Returns the minimum of an array.
  - min
```
public static int min(int[][] v)
```
    Returns the minimum of an array.
  - norm
```
public static double norm(int[] data)
```
    Computes the L2 norm of an array (Euclidean norm or "length").
  - sumSquares
```
public static int sumSquares(int[] data)
```
    Sums the squares of all components; also called the energy of the array.
  - sumSquares
```
public static int sumSquares(int[][] data)
```
    Sums the squares of all components; also called the energy of the array.
  - scalarProduct
```
public static int scalarProduct(int[] w0,
                                int[] w1)
```
    Computes the scalar product of two array as if they were vectors.
    
    Throws:
    
    IllegalArgumentException - if the don't have the same length.
  - scalarProduct
```
public static double scalarProduct(int[][] w0,
                                   int[][] w1)
```
    Computes the scalar product of two array as if they were matrices.
    
    Throws:
    
    IllegalArgumentException - if the don't have the same length.
  - extract
```
public static int[] extract(int k0,
                            int k1,
                            int[] invect)
```
    Extracts a sub-array (will invert the resulting array if k0 > k1).
    
    Parameters:
    
    k0 - location of the first component.
    
    k1 - location of the last component.
  - invert
```
public static int[] invert(int[] v)
```
    Inverts an array from left to right.
  - padding
```
public static int[] padding(int n0,
                            int pos,
                            int[] v)
```
    Fills in with zeroes to get to the specified length; original array with be at the specified position
    
    Parameters:
    
    n0 - length of the new array.
    
    pos - position of the old array.
  - add
```
public static int[] add(int[] w,
                        double a,
                        int[] v,
                        int p)
```
    Adds to an array w, a times v where a is a scalar. Since v can be smaller then w, we must specified the position at which v will be added.
    
    Parameters:
    
    a - scalar.
    
    p - position.
    
    w - longer array.
    
    v - shorter array.
    
    Throws:
    
    IllegalArgumentException - if the second array is not shorter than the first one.
  - add
```
public static int[] add(int[] w,
                        int a)
```
    Adds a scalar to every element in the array.
  - range
```
public static int[] range(int a,
                          int b)
```
    Generates an array going for a to b with steps of size 1. a can be smaller or larger than b.
  - range
```
public static int[] range(int b)
```
    Generates an array going for 0 to b with steps of size 1. 0 can be smaller or larger than b.
  - range
```
public static int[] range(int a,
                          int b,
                          int step)
```
    Generates an array going for a to b with steps of size step. If it can't get to the value b in a finite number of steps, it gets as close as possible (a can be larger or smaller than b)
    
    Parameters:
    
    step - size of steps, must be positive
    
    a - first value of array
    
    b - last value of array
    
    Throws:
    
    IllegalArgumentException - if step is negative or if a=b.
  - transpose
```
public static int[][] transpose(int[][] M)
```
    Takes the transpose of an array (like the matrix operation).
    
    Throws:
    
    IllegalArgumentException - if the array is not a matrix
  - add
```
public static int[] add(int[] a,
                        int[] b)
```
    Adds the two arrays together (componentwise).
    
    Throws:
    
    IllegalArgumentException - if the two arrays don't have the same length.
  - subtract
```
public static int[] subtract(int[] a,
                             int[] b)
```
    Subtracts the two arrays together (componentwise).
    
    Throws:
    
    IllegalArgumentException - if the two arrays don't have the same length.
  - mass
```
public static int mass(int[] v)
```
    Returns the sum of the elements of the array.
  - scalarMultiply
```
public static double[] scalarMultiply(double a,
                                      int[] v)
```
    Multiplies every component of an array by a scalar.
  - scalarMultiplyFast
```
public static double[] scalarMultiplyFast(double a,
                                          int[] v)
```
    Fast scalar multiplication for sparse arrays.
  - print
```
public static void print(int[] v)
```
    Prints an array to screen.
  - print
```
public static void print(int[][] v)
```
    Prints an array to screen.

Class ArrayMath

Method Summary

Methods inherited from class java.lang.Object

Method Detail

copy

copy

copy

copy

toFloat

toFloat

toFloat

isSquare

isSquare

isSquare

isSquare

isSquare

toFloat

toFloat

toFloat

toDouble

toDouble

toDouble

toDouble

toDouble

toDouble

toLong

toLong

toLong

toLong

toLong

toLong

toInt

toInt

toInt

toInt

toInt

toInt

normalize

setLengthFromEnd

setLengthFromBeginning

copy

variance

covariance

correlation

mean

standardDeviation

sortMinToMax

sortMaxToMin

percentile

median

abs

abs

max

max

maxIndex

min

min

minIndex

norm

sumSquares

sumSquares

getPowerN

scalarProduct

scalarProduct

extract

invert

padding

add

add

transpose

range

range

range

softmax

range

add

subtract

scalarMultiply

toString

toString