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java.lang.Objectjhplot.math.ArrayMathUtils
public final class ArrayMathUtils
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 | |
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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)
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static float[][] |
toFloat(double[][] v)
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static float[] |
toFloat(int[] v)
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static float[][] |
toFloat(int[][] v)
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static float[] |
toFloat(long[] v)
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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)
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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 |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Method Detail |
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public static int[] copy(int[] array)
public static long[] copy(long[] array)
public static float[] copy(float[] array)
public static double[] copy(double[] array)
public static float[] toFloat(double[] v)
public static float[] toFloat(long[] v)
public static float[] toFloat(int[] v)
public static boolean isSquare(double[][] a)
public static boolean isSquare(float[][] a)
public static boolean isSquare(long[][] a)
public static boolean isSquare(int[][] a)
public static boolean isSquare(Object[][] a)
public static float[][] toFloat(double[][] v)
public static float[][] toFloat(long[][] v)
public static float[][] toFloat(int[][] v)
public static double[] toDouble(float[] v)
public static double[] toDouble(long[] v)
public static double[] toDouble(int[] v)
public static double[][] toDouble(float[][] v)
public static double[][] toDouble(long[][] v)
public static double[][] toDouble(int[][] v)
public static long[] toLong(double[] v)
public static long[] toLong(float[] v)
public static long[] toLong(int[] v)
public static long[][] toLong(float[][] v)
public static long[][] toLong(double[][] v)
public static long[][] toLong(int[][] v)
public static int[] toInt(double[] v)
public static int[] toInt(float[] v)
public static int[] toInt(long[] v)
public static int[][] toInt(float[][] v)
public static int[][] toInt(double[][] v)
public static int[][] toInt(long[][] v)
public static double[] normalize(double[] v)
public static double[] setLengthFromEnd(double[] data, int length)
public static double[] setLengthFromBeginning(double[] data, int length)
public static double[][] copy(double[][] v)
public static double variance(double[] v)
public static double covariance(double[] v1, double[] v2)
public static double correlation(double[] v1, double[] v2)
public static double mean(double[] v)
public static double standardDeviation(double[] v)
public static double[] sortMinToMax(double[] v)
public static double[] sortMaxToMin(double[] v)
public static double percentile(double[] v, double p)
p
- percentile, must be between 0 and 1
IllegalArgumentException
- if parameter.
p is not between 0 and 1.public static double median(double[] v)
public static double[] abs(double[] v)
public static double[][] abs(double[][] v)
public static double max(double[] v)
public static double max(double[][] v)
public static double maxIndex(double[] value)
public static double min(double[] v)
public static double min(double[][] v)
public static double minIndex(double[] value)
public static double norm(double[] data)
public static double sumSquares(double[] data)
public static double sumSquares(double[][] data)
public static double getPowerN(double[] data, int n)
public static double scalarProduct(double[] w0, double[] w1)
IllegalArgumentException
- if the don't have the same lengthpublic static double scalarProduct(double[][] w0, double[][] w1)
IllegalArgumentException
- if the don't have the same lengthpublic static double[] extract(int k0, int k1, double[] invect)
k0
- location of the first componentk1
- location of the last componentpublic static double[] invert(double[] v)
public static double[] padding(int n0, int pos, double[] v)
n0
- length of the new array.pos
- position of the old array.public static double[] add(double[] w, double a, double[] v, int p)
a
- scalar.p
- position.public static double[] add(double[] w, double a)
public static double[][] transpose(double[][] M)
IllegalArgumentException
- if the array is not a matrixpublic static double[] range(double a, double b, double step)
step
- size of steps, must be positive.a
- first value of array.b
- last value of array.
IllegalArgumentException
- if step is negative of if a=b.public static double[] range(double a, double b)
public static double range(double[] population)
public static double softmax(int index, double[] x)
public static double[] range(double b)
public static double[] add(double[] a, double[] b)
IllegalArgumentException
- if the
two arrays don't have the same length.public static double[] subtract(double[] a, double[] b)
IllegalArgumentException
- if the
two arrays don't have the same length.public static double[] scalarMultiply(double a, double[] v)
public static String toString(double[] array)
public static String toString(double[][] array)
public static double mass(double[] v)
public static double[] scalarMultiplyFast(double a, double[] v)
public static void print(double[] v)
public static void print(double[][] v)
public static int[] setLengthFromEnd(int[] data, int length)
public static int[] setLengthFromBeginning(int[] data, int length)
public static int[][] copy(int[][] v)
public static double variance(int[] v)
public static double covariance(int[] v1, int[] v2)
public static double correlation(int[] v1, int[] v2)
public static double mean(int[] v)
public static double standardDeviation(int[] v)
public static int[] sortMinToMax(int[] v)
public static int[] sortMaxToMin(int[] v)
public static String toString(int[] array)
public static String toString(int[][] array)
public static double percentile(int[] v, double p)
p
- percentile, must be between 0 and 1
IllegalArgumentException
- if parameter
p is not between 0 and 1.public static int median(int[] v)
public static boolean equals(int[] a, int[] b)
public static int[] abs(int[] v)
public static int[][] abs(int[][] v)
public static int max(int[] v)
public static int max(int[][] v)
public static int min(int[] v)
public static int min(int[][] v)
public static double norm(int[] data)
public static int sumSquares(int[] data)
public static int sumSquares(int[][] data)
public static int scalarProduct(int[] w0, int[] w1)
IllegalArgumentException
- if the
don't have the same length.public static double scalarProduct(int[][] w0, int[][] w1)
IllegalArgumentException
- if the
don't have the same length.public static int[] extract(int k0, int k1, int[] invect)
k0
- location of the first component.k1
- location of the last component.public static int[] invert(int[] v)
public static int[] padding(int n0, int pos, int[] v)
n0
- length of the new array.pos
- position of the old array.public static int[] add(int[] w, double a, int[] v, int p)
a
- scalar.p
- position.w
- longer array.v
- shorter array.
IllegalArgumentException
- if the second array
is not shorter than the first one.public static int[] add(int[] w, int a)
public static int[] range(int a, int b)
public static int[] range(int b)
public static int[] range(int a, int b, int step)
step
- size of steps, must be positivea
- first value of arrayb
- last value of array
IllegalArgumentException
- if step is
negative or if a=b.public static int[][] transpose(int[][] M)
IllegalArgumentException
- if the array
is not a matrixpublic static int[] add(int[] a, int[] b)
IllegalArgumentException
- if the
two arrays don't have the same length.public static int[] subtract(int[] a, int[] b)
IllegalArgumentException
- if the
two arrays don't have the same length.public static int mass(int[] v)
public static double[] scalarMultiply(double a, int[] v)
public static double[] scalarMultiplyFast(double a, int[] v)
public static void print(int[] v)
public static void print(int[][] v)
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